Started by user dgl-bot Replayed #4 Connecting to https://api.github.com using new personal access key generated by RY220902 Obtained Jenkinsfile from cc8ad71927f963772a0d0084d04393ba511ed3ba+2dd06b21529d77fa398706444f6db080378e8a79 (ac5af89cecbe32729fbe07ea2ca5d64361817143) [Pipeline] Start of Pipeline [Pipeline] node Running on dgl-manual-cpu-worker in /home/ubuntu/jenkins_new/workspace/dgl_PR-4499 [Pipeline] { [Pipeline] stage [Pipeline] { (Declarative: Checkout SCM) [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Commit message: "Merge branch 'master' into rm_cub" > git rev-parse --resolve-git-dir /home/ubuntu/jenkins_new/workspace/dgl_PR-4499/.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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4499 # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-list --no-walk cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 Cleaning workspace [Pipeline] } [Pipeline] // stage [Pipeline] withEnv [Pipeline] { [Pipeline] stage [Pipeline] { (Regression Test Trigger) > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] node Running on dgci-worker-permanent in /var/jenkins/workspace/dgl_PR-4499 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace [Pipeline] withEnv [Pipeline] { > git rev-parse --resolve-git-dir /var/jenkins/workspace/dgl_PR-4499/.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 new personal access key generated by RY220902 > git fetch --no-tags --progress https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4499 # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] isUnix [Pipeline] withEnv [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-4499 -v /var/jenkins/workspace/dgl_PR-4499:/var/jenkins/workspace/dgl_PR-4499:rw,z -v /var/jenkins/workspace/dgl_PR-4499@tmp:/var/jenkins/workspace/dgl_PR-4499@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-lint cat $ docker top 1743f47b49aa9b6fd465f79d7e89d86ebfb84e4d4d4301c73cd112cf1f5b6ed8 -eo pid,comm [Pipeline] { [Pipeline] } $ docker stop --time=1 1743f47b49aa9b6fd465f79d7e89d86ebfb84e4d4d4301c73cd112cf1f5b6ed8 $ docker rm -f 1743f47b49aa9b6fd465f79d7e89d86ebfb84e4d4d4301c73cd112cf1f5b6ed8 [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-4499 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh > git rev-parse --resolve-git-dir /var/jenkins/workspace/dgl_PR-4499/.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 new personal access key generated by RY220902 > git fetch --no-tags --progress https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4499 # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 + docker pull dgllib/dgl-ci-lint Using default tag: latest latest: Pulling from dgllib/dgl-ci-lint Digest: sha256:11b87b4425630143a2560fe6ad584f245ee0a86bc58b40cda3c2be93656b0d5e Status: Image is up to date for dgllib/dgl-ci-lint:latest docker.io/dgllib/dgl-ci-lint:latest [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-lint . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dgci-worker-permanent does not seem to be running inside a container $ docker run -t -d -u 0:0 -w /var/jenkins/workspace/dgl_PR-4499 -v /var/jenkins/workspace/dgl_PR-4499:/var/jenkins/workspace/dgl_PR-4499:rw,z -v /var/jenkins/workspace/dgl_PR-4499@tmp:/var/jenkins/workspace/dgl_PR-4499@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-lint cat $ docker top a517a6fe13f07d824b4cfa2683ce9decfc67e3261f9616192dd1cd44f1ffc7a8 -eo pid,comm [Pipeline] { [Pipeline] script [Pipeline] { [Pipeline] echo Not the first build [Pipeline] } [Pipeline] // script [Pipeline] } $ docker stop --time=1 a517a6fe13f07d824b4cfa2683ce9decfc67e3261f9616192dd1cd44f1ffc7a8 $ docker rm -f a517a6fe13f07d824b4cfa2683ce9decfc67e3261f9616192dd1cd44f1ffc7a8 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (CI) [Pipeline] stage [Pipeline] { (Lint Check) [Pipeline] node Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4499 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa 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-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4499/head:refs/remotes/origin/PR-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker pull dgllib/dgl-ci-lint Using default tag: latest latest: Pulling from dgllib/dgl-ci-lint Digest: sha256:11b87b4425630143a2560fe6ad584f245ee0a86bc58b40cda3c2be93656b0d5e Status: Image is up to date for dgllib/dgl-ci-lint:latest docker.io/dgllib/dgl-ci-lint:latest [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-lint . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 -w /root/jenkins/workspace/dgl_PR-4499 -v /root/jenkins/workspace/dgl_PR-4499:/root/jenkins/workspace/dgl_PR-4499:rw,z -v /root/jenkins/workspace/dgl_PR-4499@tmp:/root/jenkins/workspace/dgl_PR-4499@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-lint cat $ docker top 74c592f6e317ef98cc50e527cba7d897b6f933f512ad6dca14151a65671dd223 -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 786e4b1b-86b9-4b2a-8500-f731d83996aa Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@5e87d0ac; decorates RemoteLauncher[hudson.remoting.Channel@2d9d6160: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 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4499/.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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4499 # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/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-4499/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' 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-4499/third_party/tensorpipe/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/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 ====== 18859 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 |644 |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.ndarray) | | \-object (dgl._ffi._ctypes.function) | | \-types (dgl._ffi._ctypes.object) | \-base (dgl._ffi.ndarray) | \-function (dgl.transforms.functional) | \-libinfo (dgl._ffi.base) | \-ndarray (dgl._ffi.streams) | \-object (dgl.distributed.rpc) | \-object_generic (dgl._ffi._ctypes.object) | \-runtime_ctypes (dgl._ffi.ndarray) | \-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) | \-base (dgl.storages.numpy) \-subgraph (dgl.transforms.functional) \-transforms (dgl.distributed.dist_graph) | \-functional (dgl.transforms.module) \-traversal (dgl.propagate) \-udf (dgl.core) \-utils (dgl.transforms.functional) | \-checks (dgl.utils.data) \-view (dgl.heterograph) Raw metrics ----------- +----------+-------+------+---------+-----------+ |type |number |% |previous |difference | +==========+=======+======+=========+===========+ |code |22525 |34.79 |NC |NC | +----------+-------+------+---------+-----------+ |docstring |35947 |55.53 |NC |NC | +----------+-------+------+---------+-----------+ |comment |1951 |3.01 |NC |NC | +----------+-------+------+---------+-----------+ |empty |4317 |6.67 |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 74c592f6e317ef98cc50e527cba7d897b6f933f512ad6dca14151a65671dd223 $ docker rm -f 74c592f6e317ef98cc50e527cba7d897b6f933f512ad6dca14151a65671dd223 [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-4499 [Pipeline] node [Pipeline] node Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4499 [Pipeline] nodeRunning on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4499@2 Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4499@3 [Pipeline] { [Pipeline] { [Pipeline] { [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa Cloning the remote Git repository Cloning with configured refspecs honoured and without tags [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa [Pipeline] checkout Cloning the remote Git repository Cloning with configured refspecs honoured and without tags The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa [Pipeline] checkout Cloning the remote Git repository Cloning with configured refspecs honoured and without tags The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa 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-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4499@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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4499@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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Cleaning workspace Fetching without tags Cleaning workspace Fetching without tags Cleaning workspace Fetching without tags Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4499/head:refs/remotes/origin/PR-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4499/head:refs/remotes/origin/PR-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4499/head:refs/remotes/origin/PR-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4499/head:refs/remotes/origin/PR-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) [Pipeline] withEnv [Pipeline] { > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] sh > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker pull dgllib/dgl-ci-gpu:cu101_v220816 + 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 pull dgllib/dgl-ci-cpu:v220816 $ docker run -t -d -u 0:0 -u root -w /root/jenkins/workspace/dgl_PR-4499@3 -v /root/jenkins/workspace/dgl_PR-4499@3:/root/jenkins/workspace/dgl_PR-4499@3:rw,z -v /root/jenkins/workspace/dgl_PR-4499@3@tmp:/root/jenkins/workspace/dgl_PR-4499@3@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** nvcr.io/nvidia/pytorch:22.04-py3 cat > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 cu101_v220816: Pulling from dgllib/dgl-ci-gpu Digest: sha256:ca40fc52876a2563a4e904d0c271d658c1acc8e6a4f8611b578bb49f8c7fd925 Status: Image is up to date for dgllib/dgl-ci-gpu:cu101_v220816 docker.io/dgllib/dgl-ci-gpu:cu101_v220816 $ docker top 2b4b6f6adf1558d4408a78f4c18d99928ad6844f1beadcdee4fc650be3ebbb72 -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] } [Pipeline] // withEnv v220816: Pulling from dgllib/dgl-ci-cpu Digest: sha256:64b385c33b44dc57cb96ff264a84d8dfb8ced0caa9b30fbc4cec6d5ee511b099 Status: Image is up to date for dgllib/dgl-ci-cpu:v220816 docker.io/dgllib/dgl-ci-cpu:v220816 [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] } [Pipeline] sh [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh [Pipeline] sh [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa Fetching changes from the remote Git repository Cleaning workspace Fetching without tags + docker inspect -f . dgllib/dgl-ci-gpu:cu101_v220816 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer + 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/..2b4b6f6adf15.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/..2b4b6f6adf15.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 + docker inspect -f . dgllib/dgl-ci-cpu:v220816 . dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 -u root -w /root/jenkins/workspace/dgl_PR-4499@2 -v /root/jenkins/workspace/dgl_PR-4499@2:/root/jenkins/workspace/dgl_PR-4499@2:rw,z -v /root/jenkins/workspace/dgl_PR-4499@2@tmp:/root/jenkins/workspace/dgl_PR-4499@2@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-gpu:cu101_v220816 cat Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace $ docker top df6c58298c69abce94df4aea31620abff77b08149f0fbc189f10cc9a918e52c7 -eo pid,comm [Pipeline] { > git rev-parse --resolve-git-dir C:\Jenkins\workspace\dgl_PR-4499\.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 new personal access key generated by RY220902 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4499 # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] checkout [Pipeline] } The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@5da137dd; decorates RemoteLauncher[hudson.remoting.Channel@2d9d6160:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace [Pipeline] // 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-4499 -v /root/jenkins/workspace/dgl_PR-4499:/root/jenkins/workspace/dgl_PR-4499:rw,z -v /root/jenkins/workspace/dgl_PR-4499@tmp:/root/jenkins/workspace/dgl_PR-4499@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:v220816 cat Fetching without tags Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) $ docker top 14710c00dabb56d36f3e54446074ae8363e5929dc24803dc30c53e0b1d93521f -eo pid,comm [Pipeline] { [Pipeline] bat [Pipeline] sh [Pipeline] sh Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4499@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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4499 # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4499>git submodule update --recursive --init + 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 + 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 786e4b1b-86b9-4b2a-8500-f731d83996aa Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@76c73bea; decorates RemoteLauncher[hudson.remoting.Channel@2d9d6160:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@1fea3cea; decorates RemoteLauncher[hudson.remoting.Channel@2d9d6160: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 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/METIS'... Fetching without tags Fetching without tags > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4499/.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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4499@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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba + 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/..2b4b6f6adf15.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/..2b4b6f6adf15.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 Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/METIS'... Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4499 # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4499 # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh [Pipeline] sh + git submodule update --recursive --init + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/nanoflann'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/nccl'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/phmap'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/tensorpipe'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/xbyak'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/thrust'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/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-4499/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' 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' Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/thrust'... Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe'... Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/thrust'... 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-4499@2/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/tvm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/libnop'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/pybind11'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/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-4499/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-4499@2/third_party/xbyak'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/METIS/GKlib'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/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-4499/third_party/METIS/GKlib'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/xbyak'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/METIS/GKlib'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/thrust/dependencies/cub'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Submodule path 'third_party/thrust/dependencies/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/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' 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/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' 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-4499@2/third_party/tensorpipe/third_party/googletest'... Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' 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-4499/third_party/tensorpipe/third_party/googletest'... Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': 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-4499@3/third_party/tensorpipe/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/rang'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/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' Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/third_party/libnop'... Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/third_party/libuv'... Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/libnop'... Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] bat Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/libuv'... administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4499>CALL tests\scripts\build_dgl.bat ********************************************************************** ** Visual Studio 2019 Developer Command Prompt v16.5.5 ** Copyright (c) 2019 Microsoft Corporation ********************************************************************** Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/third_party/libnop'... [vcvarsall.bat] Environment initialized for: 'x64' Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/third_party/libuv'... created virtual environment CPython3.6.7.final.0-64 in 308ms creator CPython3Windows(dest=C:\Users\Administrator\Envs\jenkins-dgl-PR-4499-5, 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-4499\third_party\libxsmm\BUILD Deleted file - C:\Jenkins\workspace\dgl_PR-4499\third_party\libxsmm\samples\hello\BUILD Could Not Find C:\Jenkins\workspace\dgl_PR-4499\_download -- Selecting Windows SDK version 10.0.18362.0 to target Windows 6.3.9600. Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/third_party/pybind11'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/pybind11'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/third_party/pybind11'... -- The C compiler identification is MSVC 19.25.28614.0 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' -- The CXX compiler identification is MSVC 19.25.28614.0 -- Detecting C compiler ABI info 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/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-4499/third_party/tensorpipe/third_party/pybind11/tools/clang'... 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-4499@2/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' -- Detecting C compiler ABI info - done -- Check for working C compiler: C:/Program Files (x86)/Microsoft Visual Studio/2019/BuildTools/VC/Tools/MSVC/14.25.28610/bin/Hostx64/x64/cl.exe - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info Submodule path 'third_party/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-4499/third_party/thrust/dependencies/cub'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/thrust/dependencies/cub'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: C:/Program Files (x86)/Microsoft Visual Studio/2019/BuildTools/VC/Tools/MSVC/14.25.28610/bin/Hostx64/x64/cl.exe - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Start configuring project dgl Submodule path 'third_party/tensorpipe/third_party/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-4499@3/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-4499@3/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-4499@2/third_party/tvm/3rdparty/dlpack'... -- Found OpenMP_C: -openmp (found version "2.0") Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/tvm/3rdparty/dmlc-core'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/tvm/3rdparty/rang'... -- 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 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-4499@3/third_party/tvm/3rdparty/dlpack'... 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-4499/third_party/tvm/3rdparty/dlpack'... -- Looking for clock_gettime in rt - not found -- Looking for fopen64 Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/tvm/3rdparty/vta-hw'... -- Looking for fopen64 - not found -- Looking for C++ include cxxabi.h -- Looking for C++ include cxxabi.h - not found -- Looking for nanosleep Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/rang'... 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' -- Looking for nanosleep - not found -- Looking for backtrace Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/tvm/3rdparty/vta-hw'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/vta-hw'... Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' -- Looking for backtrace - not found -- Could NOT find Backtrace (missing: Backtrace_LIBRARY Backtrace_INCLUDE_DIR) [Pipeline] sh -- Check if the system is big endian -- Searching 16 bit integer -- Looking for sys/types.h + bash tests/scripts/build_dgl.sh gpu ~/jenkins/workspace/dgl_PR-4499@2/build ~/jenkins/workspace/dgl_PR-4499@2 Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' -- The C compiler identification is GNU 7.5.0 -- The CXX compiler identification is GNU 7.5.0 -- Check for working C compiler: /usr/bin/cc Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' 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' -- Looking for sys/types.h - found -- Looking for stdint.h -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] sh [Pipeline] sh -- 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 + 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/..2b4b6f6adf15.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/..2b4b6f6adf15.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 + bash tests/scripts/build_dgl.sh cpu ~/jenkins/workspace/dgl_PR-4499/build ~/jenkins/workspace/dgl_PR-4499 -- 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 ~/jenkins/workspace/dgl_PR-4499@3/build ~/jenkins/workspace/dgl_PR-4499@3 -- The C compiler identification is GNU 9.4.0 -- The C compiler identification is GNU 7.5.0 -- The CXX compiler identification is GNU 7.5.0 -- Check for working C compiler: /usr/bin/cc -- 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 stdint.h - found -- Looking for stddef.h -- The CXX compiler identification is GNU 9.4.0 -- Detecting C compiler ABI info -- Check for working C compiler: /usr/bin/cc -- works -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Detecting C compile features -- Detecting C compile features - done -- Check for working CXX compiler: /usr/bin/c++ -- 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. -- 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++ -- 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 -- 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 SUPPORT_CXX14 - Success -- Found OpenMP_C: -fopenmp (found version "4.5") -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads -- Looking for stddef.h - found -- Check size of unsigned short -- Found OpenMP_CXX: -fopenmp (found version "4.5") -- Found OpenMP: TRUE (found version "4.5") -- Build with OpenMP. -- Build with LIBXSMM optimization. -- Looking for sys/epoll.h -- Looking for sys/epoll.h - found -- Build with fp16 to support mixed precision training -- -fopenmp -O2 -Wall -fPIC -std=c++14 -DUSE_AVX -DUSE_LIBXSMM -DDGL_CPU_LLC_SIZE=40000000 -DUSE_EPOLL -DUSE_FP16 -DIDXTYPEWIDTH=64 -DREALTYPEWIDTH=32 -- Running GPU architecture autodetection -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread -- 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 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 -- 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 -- Check size of unsigned short - done -- Searching 16 bit integer - Using unsigned short -- Performing Test SUPPORT_CXX14 - Success -- Use external CUB/Thrust library for a consistent API and performance. -- 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 -- Found OpenMP_C: -fopenmp (found version "4.5") -- Looking for stdint.h - found -- Looking for stddef.h -- Looking for stddef.h - found -- Check size of unsigned short 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 -- Found OpenMP_C: -fopenmp (found version "4.5") -- Found OpenMP_CXX: -fopenmp (found version "4.5") -- Looking for clock_gettime in rt -- Check if the system is big endian - little endian -- C:/Jenkins/workspace/dgl_PR-4499/third_party/dmlc-core/cmake/build_config.h.in -> include/dmlc/build_config.h -- Found PythonInterp: C:/Users/Administrator/Envs/jenkins-dgl-PR-4499-5/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 -- 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 -- Check size of unsigned short - done -- Using unsigned short -- Check if the system is big endian - little endian -- /root/jenkins/workspace/dgl_PR-4499/third_party/dmlc-core/cmake/build_config.h.in -> include/dmlc/build_config.h -- Performing Test SUPPORT_MSSE2 -- Looking for clock_gettime in rt - found -- Looking for fopen64 -- Looking for fopen64 - not found -- Looking for C++ include cxxabi.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). -- Performing Test SUPPORT_MSSE2 - Success -- Looking for execinfo.h -- Looking for execinfo.h - found -- Looking for getline -- Looking for C++ include cxxabi.h - found -- Looking for nanosleep -- Looking for nanosleep - found -- Looking for backtrace -- Looking for pthread.h - not found -- Found Threads: TRUE -- Configuring done -- Generating done -- Build files have been written to: C:/Jenkins/workspace/dgl_PR-4499/build Microsoft (R) Build Engine version 16.5.1+4616136f8 for .NET Framework Copyright (C) Microsoft Corporation. All rights reserved. -- 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 -- 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 Build started 9/4/2022 3:15:20 AM. 1>Project "C:\Jenkins\workspace\dgl_PR-4499\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". -- 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 -- Looking for stddef.h - found -- Check size of unsigned short -- Check size of unsigned short - done -- Using unsigned short 1>Project "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4499\build\ALL_BUILD.vcxproj.metaproj" (2) on node 1 (default targets). 2>Project "C:\Jenkins\workspace\dgl_PR-4499\build\ALL_BUILD.vcxproj.metaproj" (2) is building "C:\Jenkins\workspace\dgl_PR-4499\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 -- 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 -- Check if the system is big endian - little endian -- /root/jenkins/workspace/dgl_PR-4499@2/third_party/dmlc-core/cmake/build_config.h.in -> include/dmlc/build_config.h -- Performing Test SUPPORT_MSSE2 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-4499\build\ZERO_CHECK.vcxproj" (default targets). 1>Project "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4499\build\tensoradapter_pytorch.vcxproj.metaproj" (10) on node 1 (default targets). 10>Project "C:\Jenkins\workspace\dgl_PR-4499\build\tensoradapter_pytorch.vcxproj.metaproj" (10) is building "C:\Jenkins\workspace\dgl_PR-4499\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.F3E53929.tlog\". InitializeBuildStatus: Creating "x64\Release\tensoradapter_pytorch\tensorad.F3E53929.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: (jenkins-dgl-PR-4499-5) administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4499\tensoradapter\pytorch>REM Helper script to build tensor adapter libraries for PyTorch Could Not Find C:\Jenkins\workspace\dgl_PR-4499\tensoradapter\pytorch\build -- Selecting Windows SDK version 10.0.18362.0 to target Windows 6.3.9600. -- 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 SUPPORT_MSSE2 - Success -- Looking for execinfo.h -- Looking for execinfo.h - found -- Looking for getline 1>Project "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4499\build\third_party\googletest\googletest\gtest.vcxproj.metaproj" (7) on node 1 (default targets). 7>Project "C:\Jenkins\workspace\dgl_PR-4499\build\third_party\googletest\googletest\gtest.vcxproj.metaproj" (7) is building "C:\Jenkins\workspace\dgl_PR-4499\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-4499\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-4499\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4499\build\third_party\googletest\googlemock\gmock_main.vcxproj.metaproj" (6) on node 1 (default targets). 6>Project "C:\Jenkins\workspace\dgl_PR-4499\build\third_party\googletest\googlemock\gmock_main.vcxproj.metaproj" (6) is building "C:\Jenkins\workspace\dgl_PR-4499\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-4499/third_party/googletest/googletest/CMakeLists.txt 1>Project "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4499\build\third_party\googletest\googlemock\gmock.vcxproj.metaproj" (5) on node 1 (default targets). 5>Project "C:\Jenkins\workspace\dgl_PR-4499\build\third_party\googletest\googlemock\gmock.vcxproj.metaproj" (5) is building "C:\Jenkins\workspace\dgl_PR-4499\build\third_party\googletest\googlemock\gmock.vcxproj" (15) on node 5 (default targets). 15>PrepareForBuild: Creating directory "gmock.dir\Release\". 13>MakeDirsForCl: Creating directory "C:\Jenkins\workspace\dgl_PR-4499\build\bin\Release". 15>PrepareForBuild: Creating directory "gmock.dir\Release\gmock.tlog\". InitializeBuildStatus: Creating "gmock.dir\Release\gmock.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. 14>CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4499/third_party/googletest/googlemock/CMakeLists.txt 1>Project "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (4) on node 1 (default targets). 4>Project "C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (4) is building "C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj" (16) on node 6 (default targets). 16>PrepareForBuild: Creating directory "dmlc.dir\Release\". 13>ClCompile: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\bin\Release\gtest.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googletest\src\gtest-all.cc" 16>PrepareForBuild: Creating directory "C:\Jenkins\workspace\dgl_PR-4499\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>CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4499/third_party/googletest/googlemock/CMakeLists.txt 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-4499\third_party\googletest\googlemock\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googlemock" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\bin\Release\gmock_main.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googletest\src\gtest-all.cc" "C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googlemock\src\gmock-all.cc" "C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googlemock\src\gmock_main.cc" 16>CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4499/third_party/dmlc-core/CMakeLists.txt -- 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 -- 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 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-4499\third_party\googletest\googlemock\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googlemock" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\bin\Release\gmock.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googletest\src\gtest-all.cc" "C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googlemock\src\gmock-all.cc" 16>ClCompile: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4499\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-4499\third_party\dmlc-core\src\config.cc" "C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\data.cc" "C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io.cc" "C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\recordio.cc" "C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io\line_split.cc" "C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io\recordio_split.cc" "C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io\indexed_recordio_split.cc" "C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io\input_split_base.cc" "C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io\filesys.cc" "C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io\local_filesys.cc" 15>ClCompile: gtest-all.cc gmock-all.cc 16>ClCompile: config.cc data.cc io.cc recordio.cc line_split.cc recordio_split.cc indexed_recordio_split.cc input_split_base.cc filesys.cc local_filesys.cc -- 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 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 16>C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io\filesys.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io\filesys.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io\recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io\recordio_split.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io\line_split.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io\line_split.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io\indexed_recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io\indexed_recordio_split.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io\input_split_base.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io\input_split_base.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj] 16>C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj] -- 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-4499/build Scanning dependencies of target tensoradapter_pytorch Scanning dependencies of target libxsmm Scanning dependencies of target dmlc Scanning dependencies of target gtest [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/config.cc.o [ 2%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest.dir/src/gtest-all.cc.o [ 2%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/data.cc.o [ 2%] 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.cc.o [ 3%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/line_split.cc.o [ 3%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/recordio_split.cc.o [ 3%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/indexed_recordio_split.cc.o [ 3%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/local_filesys.cc.o [ 4%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/filesys.cc.o [ 4%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/input_split_base.cc.o 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 -- 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 16>C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io\local_filesys.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io\local_filesys.cc : message : see previous definition of 'NOMINMAX' [C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj] 12>CustomBuild: -- The C compiler identification is MSVC 19.25.28614.0 Scanning dependencies of target tensorpipe_uv Scanning dependencies of target metis [ 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/inet.c.o [ 6%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/idna.c.o [ 6%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/random.c.o [ 6%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/strscpy.c.o [ 6%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/timer.c.o [ 7%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/threadpool.c.o [ 7%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/uv-common.c.o [ 7%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/uv-data-getter-setters.c.o [ 8%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/version.c.o [ 8%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/core.c.o [ 8%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/async.c.o [ 8%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/dl.c.o [ 9%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/fs.c.o [ 9%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/getaddrinfo.c.o [ 9%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/getnameinfo.c.o [ 9%] Building C object 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third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/procfs-exepath.c.o [ 25%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/minconn.c.o [ 25%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-getrandom.c.o [ 25%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/ometis.c.o [ 26%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/mincover.c.o [ 26%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/stat.c.o [ 26%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/pmetis.c.o [ 27%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/sfm.c.o [ 27%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/mmd.c.o [ 27%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/options.c.o [ 27%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/separator.c.o [ 28%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/util.c.o [ 28%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/wspace.c.o [ 28%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/refine.c.o [ 30%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/parmetis.c.o [ 30%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/timing.c.o [ 31%] No configure step for 'nccl_external' [ 31%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/srefine.c.o -- Detecting CXX compile features -- Detecting CXX compile features - done -- Using Python interpreter: /opt/conda/envs/pytorch-ci/bin/python [ 37%] Linking C static library libtensorpipe_uv.a [ 37%] Built target tensorpipe_uv -- Performing Test SUPPORT_MSSE2 - Success -- Looking for execinfo.h -- The C compiler identification is GNU 7.5.0 [ 31%] Performing build step for 'nccl_external' Scanning dependencies of target tensorpipe [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/helpers.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/error.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/context.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/listener_impl.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/allocator.cc.o [ 38%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/system.cc.o [ 38%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/address.cc.o [ 38%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/error.cc.o [ 38%] Building CXX object 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Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/factory.cc.o [ 50%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/utility.cc.o [ 50%] 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/cma/factory.cc.o [ 50%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/sockaddr.cc.o [ 50%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/sockaddr.cc.o [ 50%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/factory.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/ibv/reactor.cc.o [ 51%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/ibv.cc.o [ 51%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/context_impl.cc.o [ 50%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/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/shm/context_impl.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/sockaddr.cc.o [ 53%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/factory.cc.o [ 53%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/connection_impl.cc.o [ 54%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/utility.cc.o -- Looking for execinfo.h - found -- Looking for getline -- The CXX compiler identification is MSVC 19.25.28614.0 -- Detecting C compiler ABI info -- Looking for getline - found -- The CXX compiler identification is GNU 7.5.0 -- Check for working C compiler: /usr/bin/cc -- 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 Grabbing include/nccl_net.h > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/include/nccl_net.h Generating nccl.h.in > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/include/nccl.h Generating nccl.pc.in > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/lib/pkgconfig/nccl.pc Compiling init.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/init.o Compiling channel.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/channel.o Compiling bootstrap.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/bootstrap.o Compiling transport.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/transport.o -- Check for working C compiler: /usr/bin/cc -- works Compiling enqueue.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/enqueue.o -- Detecting C compiler ABI info Compiling group.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/group.o Compiling debug.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/debug.o Compiling proxy.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/proxy.o Compiling misc/nvmlwrap.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/misc/nvmlwrap.o Compiling misc/ibvwrap.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/misc/ibvwrap.o Compiling misc/gdrwrap.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/misc/gdrwrap.o Compiling misc/utils.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/misc/utils.o -- Detecting C compiler ABI info - done Compiling misc/argcheck.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/misc/argcheck.o -- Detecting C compile features -- Detecting C compile features - done Compiling transport/p2p.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/transport/p2p.o -- Check for working CXX compiler: /usr/bin/c++ Compiling transport/shm.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/transport/shm.o Compiling transport/net.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/transport/net.o -- Performing Test UV_LINT_NO_CONDITIONAL_CONSTANT_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_EMPTY_TU_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_EMPTY_TU_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_FILE_SCOPE_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_FILE_SCOPE_MSVC - Failed -- Performing Test UV_LINT_NO_NONSTANDARD_NONSTATIC_DLIMPORT_MSVC -- Performing Test UV_LINT_NO_NONSTANDARD_NONSTATIC_DLIMPORT_MSVC - Failed -- Performing Test UV_LINT_NO_HIDES_LOCAL /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/common/fd.cc: In member function 'tensorpipe::Error tensorpipe::Fd::readFull(void*, size_t)': /root/jenkins/workspace/dgl_PR-4499/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-4499/third_party/tensorpipe/tensorpipe/common/fd.cc: In member function 'tensorpipe::Error tensorpipe::Fd::writeFull(const void*, size_t)': /root/jenkins/workspace/dgl_PR-4499/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-4499/third_party/tensorpipe/tensorpipe/common/socket.cc:9:0: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/transport/shm/sockaddr.h:20:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/shm/sockaddr.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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 Compiling transport/net_socket.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/transport/net_socket.o Compiling transport/net_ib.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/transport/net_ib.o Compiling transport/coll_net.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/transport/coll_net.o Compiling collectives/sendrecv.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/sendrecv.o Compiling collectives/all_reduce.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/all_reduce.o Compiling collectives/all_gather.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/all_gather.o Compiling collectives/broadcast.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/broadcast.o Compiling collectives/reduce.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/reduce.o Compiling collectives/reduce_scatter.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/reduce_scatter.o -- Check for working CXX compiler: /usr/bin/c++ -- works -- Detecting CXX compiler ABI info Compiling graph/topo.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/graph/topo.o Compiling graph/paths.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/graph/paths.o Compiling graph/search.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/graph/search.o Compiling graph/connect.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/graph/connect.o Compiling graph/rings.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/graph/rings.o Compiling graph/trees.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/graph/trees.o Compiling graph/tuning.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/graph/tuning.o Compiling graph/xml.cc > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/graph/xml.o -- Performing Test UV_LINT_NO_HIDES_LOCAL - Failed -- Performing Test UV_LINT_NO_HIDES_PARAM -- Performing Test UV_LINT_NO_HIDES_PARAM - Failed -- Performing Test UV_LINT_NO_HIDES_GLOBAL -- Performing Test UV_LINT_NO_HIDES_GLOBAL - Failed -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC -- Performing Test UV_LINT_NO_CONDITIONAL_ASSIGNMENT_MSVC - Failed -- Performing Test UV_LINT_NO_UNSAFE_MSVC -- Performing Test UV_LINT_NO_UNSAFE_MSVC - Failed -- Performing Test UV_LINT_WALL -- Detecting C compiler ABI info - done -- 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 In file included from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:26:0: /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/common/strings.h: In function 'bool tensorpipe::isValidUuid(const string&)': /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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) { ~~~~~~^~~~~~~~~ -- Detecting CXX compiler ABI info - done [ 32%] Linking C static library libtensorpipe_uv.a -- Detecting CXX compile features -- Detecting CXX compile features - done -- Using Python interpreter: /opt/conda/envs/pytorch-ci/bin/python [ 32%] Built target tensorpipe_uv Generating rules > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/Makefile.rules Scanning dependencies of target tensorpipe [ 32%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/error.cc.o [ 32%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/helpers.cc.o [ 32%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/address.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/allocator.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/error.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/fd.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/socket.cc.o [ 34%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/context_impl.cc.o [ 34%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/system.cc.o [ 34%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/error.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/listener.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/listener_impl.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/context.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/pipe.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/pipe_impl.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/context_impl.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/error.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/channel_impl.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/factory.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/channel_impl.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/factory.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/channel_impl.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/channel_impl.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/context_impl.cc.o [ 38%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/factory.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/context_impl.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/factory.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/listener_impl.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/sockaddr.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/connection_impl.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/error.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/factory.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/context_impl.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/epoll_loop.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/shm_segment.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/context_impl.cc.o [ 42%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/loop.cc.o [ 42%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/reactor.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/context_impl.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/error.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/factory.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/sockaddr.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/shm/sockaddr.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/listener_impl.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/listener_impl.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/context_impl.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/connection_impl.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/connection_impl.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/factory.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/ibv.cc.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/utility.cc.o -- Performing Test UV_LINT_WALL - Success -- Performing Test UV_LINT_NO_UNUSED_PARAMETER In file included from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/ibv/utility.cc:28:0: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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) { ^~~~~~~~~~~~~~~~ -- find_cmake.py output: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake;1.9.0 -- Configuring for PyTorch 1.9.0 -- Setting directory to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch -- Looking for pthread.h In file included from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.h:20:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/common/queue.h: In instantiation of 'void tensorpipe::Queue::push(T) [with T = tensorpipe::optional]': /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.cc:68:25: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:51:35: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:118:35: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.h:20:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/common/queue.h: In instantiation of 'void tensorpipe::Queue::push(T) [with T = tensorpipe::optional]': /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:324:25: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/common/busy_polling_loop.h:16, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/shm/reactor.h:20, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:22:51: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h:270:5: note: in expansion of macro 'TP_DCHECK_EQ' TP_DCHECK_EQ(ret, size); ^~~~~~~~~~~~ [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/reactor.cc.o -- Performing Test UV_LINT_NO_UNUSED_PARAMETER - Success -- Performing Test UV_LINT_STRICT_PROTOTYPES /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In function 'void tensorpipe::{anonymous}::parseDescriptorReplyOfMessage(tensorpipe::WriteOperation&, tensorpipe::DescriptorReply)': /root/jenkins/workspace/dgl_PR-4499/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-4499/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In function 'std::shared_ptr > tensorpipe::{anonymous}::makeDescriptorForMessage(const tensorpipe::WriteOperation&)': /root/jenkins/workspace/dgl_PR-4499/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-4499/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) { ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/uv/error.cc:11: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD /root/jenkins/workspace/dgl_PR-4499/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-4499/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:114:56: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:65:35: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:66:35: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:157:35: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:19:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:131:33: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:17, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:19:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:132:33: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:17, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:160:35: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/uv/utility.cc:13: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/uv/loop.h:21, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/uv/loop.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499@2/third_party/tensorpipe/tensorpipe/common/fd.cc: In member function 'tensorpipe::Error tensorpipe::Fd::readFull(void*, size_t)': /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/common/fd.cc:62:10: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (rv != count) { ~~~^~~~~~~~ -- Performing Test UV_LINT_STRICT_PROTOTYPES - Success -- Performing Test UV_LINT_EXTRA -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In member function 'void tensorpipe::PipeImpl::expectReadCall(tensorpipe::PipeImpl::ReadOpIter)': /root/jenkins/workspace/dgl_PR-4499/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-4499/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/uv/loop.h:21, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/uv/context_impl.h:18, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/uv/context_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/shm/context_impl.cc:13: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:225:21: required from here /root/jenkins/workspace/dgl_PR-4499/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 pthreads - not found -- Looking for pthread_create in pthread /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:280:34: required from here /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/common/socket.h:107:12: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if (rv != iov.iov_len) { ~~~^~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/common/socket.cc:9:0: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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) { ^~~~~~~~~~~~~~~~ -- Performing Test UV_LINT_EXTRA - Success -- Performing Test UV_LINT_UTF8_MSVC -- 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 /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:225:21: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:280:34: required from here /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/common/socket.h:41:8: warning: unused variable 'dummy' [-Wunused-variable] auto dummy = {(saveOneFdToArray(array[Idxs], fds), 0)...}; ^~~~~ -- Looking for pthread_create in pthread - found -- Found Threads: TRUE CMake Warning at /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): static library kineto_LIBRARY-NOTFOUND not found. Call Stack (most recent call first): /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:127 (append_torchlib_if_found) CMakeLists.txt:26 (find_package) -- Found Torch: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/lib/libtorch.so -- tensoradapter found PyTorch includes: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/include;/opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -- tensoradapter found PyTorch lib: torch -- Configured target tensoradapter_pytorch_1.9.0 -- Configuring done -- Generating done CMake Warning: Manually-specified variables were not used by the project: CUDA_TOOLKIT_ROOT_DIR TORCH_CUDA_ARCH_LIST -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4499/tensoradapter/pytorch/build In file included from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/shm/listener_impl.h:16:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/shm/listener_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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) { ^~~~~~~~~~~~~~~~ Scanning dependencies of target tensoradapter_pytorch_1.9.0 [ 50%] Building CXX object CMakeFiles/tensoradapter_pytorch_1.9.0.dir/torch.cpp.o [ 46%] Linking C static library libmetis.a [ 46%] Built target metis -- 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 In file included from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/ibv/context_impl.cc:11: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.h:19, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:25:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:391:35: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:21, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:25:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:580:36: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:21, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/shm/factory.cc:12: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/uv/listener_impl.h:16, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/uv/listener_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499@2/third_party/tensorpipe/tensorpipe/transport/shm/sockaddr.h:20:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/shm/sockaddr.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/transport/ibv/utility.cc:28:0: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.h:20:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@2/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.cc:68:25: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:66:35: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:160:35: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@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); ^~~~~~~~~~~~ -- Generating done -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4499@3/build In file included from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.h:19, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/uv/factory.cc:12: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499@2/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:51:35: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:118:35: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/uv/error.cc:11: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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) { ^~~~~~~~~~~~~~~~ -- find_cmake.py output: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake;1.9.0 -- Configuring for PyTorch 1.9.0 -- Setting directory to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch -- Looking for pthread.h /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In function 'void tensorpipe::{anonymous}::parseDescriptorReplyOfMessage(tensorpipe::WriteOperation&, tensorpipe::DescriptorReply)': /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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) { ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:26:0: /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/common/strings.h: In function 'bool tensorpipe::isValidUuid(const string&)': /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/common/busy_polling_loop.h:16, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/shm/reactor.h:20, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@2/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:22:51: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:65:35: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:15:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:157:35: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@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); ^~~~~~~~~~~~ [ 0%] Creating directories for 'nccl_external' [ 0%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/idna.c.o [ 1%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/fs-poll.c.o [ 1%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/inet.c.o [ 1%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/random.c.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/config.cc.o [ 1%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/data.cc.o [ 2%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/threadpool.c.o [ 2%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/timer.c.o [ 2%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/strscpy.c.o [ 2%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/recordio.cc.o [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/version.c.o [ 3%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/uv-data-getter-setters.c.o [ 3%] Building CXX object third_party/googletest/googletest/CMakeFiles/gtest.dir/src/gtest-all.cc.o [ 4%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/line_split.cc.o [ 4%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/recordio_split.cc.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/async.c.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/uv-common.c.o [ 4%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/core.c.o [ 4%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/input_split_base.cc.o [ 4%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/indexed_recordio_split.cc.o [ 6%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/filesys.cc.o [ 6%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/blas.c.o [ 6%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/b64.c.o [ 6%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/error.c.o [ 7%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/csr.c.o [ 7%] Building CXX object third_party/dmlc-core/CMakeFiles/dmlc.dir/src/io/local_filesys.cc.o [ 7%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/evaluate.c.o [ 7%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/fkvkselect.c.o [ 7%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/gk_util.c.o [ 7%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/getopt.c.o [ 8%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/fs.c.o [ 9%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/getaddrinfo.c.o [ 9%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/fs.c.o [ 9%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/getnameinfo.c.o [ 9%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/dl.c.o [ 10%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/loop.c.o [ 10%] No download step for 'nccl_external' In file included from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/ibv/listener_impl.h:21, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/ibv/listener_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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) { ^~~~~~~~~~~~~~~~ -- 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 In file included from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/uv/loop.h:21, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/uv/loop.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:114:56: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/uv/utility.cc:13: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD In file included from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.h:20:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@2/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:324:25: required from here /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/common/queue.h:24:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] while (items_.size() >= capacity_) { /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In member function 'void tensorpipe::PipeImpl::expectReadCall(tensorpipe::PipeImpl::ReadOpIter)': /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:869:18: warning: unused variable 'op' [-Wunused-variable] ReadOperation& op = *opIter; ^~ [ 10%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/loop-watcher.c.o [ 10%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/poll.c.o [ 10%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-devurandom.c.o [ 10%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/process.c.o [ 10%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/pipe.c.o [ 12%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/signal.c.o [ 12%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/io.c.o [ 12%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/gkregex.c.o [ 13%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/graph.c.o [ 13%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/htable.c.o [ 13%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/itemsets.c.o [ 13%] No update step for 'nccl_external' [ 13%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/mcore.c.o [ 14%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/memory.c.o [ 14%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/tcp.c.o [ 14%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/pqueue.c.o [ 14%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/stream.c.o [ 14%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/rw.c.o [ 14%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/random.c.o [ 14%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/thread.c.o [ 15%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/tty.c.o [ 15%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/udp.c.o [ 15%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/proctitle.c.o In file included from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/ibv/factory.cc:12: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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) { ^~~~~~~~~~~~~~~~ [100%] Linking CXX shared library libtensoradapter_pytorch_1.9.0.so In file included from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23:0, from /root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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.h - not found -- Found Threads: TRUE In file included from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:19:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:131:33: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:17, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:19:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:132:33: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:17, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/shm/context_impl.cc:13: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:225:21: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:280:34: required from here /root/jenkins/workspace/dgl_PR-4499@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) { ~~~^~~~~~~~~~~~~~ [ 16%] No patch step for 'nccl_external' [ 18%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-inotify.c.o [ 18%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-core.c.o [ 18%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/linux-syscalls.c.o -- The C compiler identification is GNU 9.4.0 [ 19%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/seq.c.o [ 19%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/string.c.o [ 19%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/sort.c.o [ 19%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/timers.c.o [ 19%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-getrandom.c.o [ 20%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/__/GKlib/tokenizer.c.o [ 20%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/auxapi.c.o [ 20%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/bucketsort.c.o [ 20%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/procfs-exepath.c.o [ 20%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/balance.c.o [ 21%] No configure step for 'nccl_external' [ 21%] Building C object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe_uv.dir/__/third_party/libuv/src/unix/random-sysctl-linux.c.o -- 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-4499\build\tensoradapter_pytorch.vcxproj] -- Build files have been written to: C:/Jenkins/workspace/dgl_PR-4499/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 9/4/2022 3:15:26 AM. /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:225:21: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:280:34: required from here /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/common/socket.h:41:8: warning: unused variable 'dummy' [-Wunused-variable] auto dummy = {(saveOneFdToArray(array[Idxs], fds), 0)...}; ^~~~~ -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads In file included from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:25:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:391:35: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:21, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:25:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:580:36: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@2/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:21, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.h:19, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/uv/factory.cc:12: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/uv/loop.h:21, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/uv/context_impl.h:18, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/uv/context_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.h:19, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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) { ^~~~~~~~~~~~~~~~ -- The CXX compiler identification is GNU 9.4.0 [ 22%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/checkgraph.c.o [ 22%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/coarsen.c.o -- Detecting C compiler ABI info [ 22%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/debug.c.o [ 22%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/compress.c.o [ 24%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/fm.c.o [ 24%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/contig.c.o [ 24%] Performing build step for 'nccl_external' [ 24%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/frename.c.o [ 24%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/initpart.c.o [ 24%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/fortran.c.o [ 24%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/kmetis.c.o [ 24%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/gklib.c.o [ 25%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/graph.c.o [ 25%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/kwayfm.c.o [ 26%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/kwayrefine.c.o [ 26%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/mesh.c.o 1>Project "C:\Jenkins\workspace\dgl_PR-4499\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-4499\tensoradapter\pytorch\build\tensoradapter_pytorch.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4499\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 In file included from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/ibv/context_impl.cc:11: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/transport/shm/listener_impl.h:16:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/shm/listener_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/uv/listener_impl.h:16, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/uv/listener_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@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-4499@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) { ^~~~~~~~~~~~~~~~ -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread In file included from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/shm/factory.cc:12: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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) { ^~~~~~~~~~~~~~~~ [100%] Built target tensoradapter_pytorch_1.9.0 'libtensoradapter_pytorch_1.9.0.so' -> '/root/jenkins/workspace/dgl_PR-4499/build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so' [ 54%] Built target tensoradapter_pytorch [ 26%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/mcutil.c.o [ 26%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/meshpart.c.o [ 26%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/minconn.c.o [ 26%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/mmd.c.o [ 27%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/mincover.c.o -- Detecting C compiler ABI info - done -- Check for working C compiler: /usr/bin/cc - skipped -- Detecting C compile features -- Detecting C compile features - done [ 27%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/ometis.c.o [ 27%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/options.c.o -- Detecting CXX compiler ABI info [ 27%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/separator.c.o [ 27%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/pmetis.c.o [ 28%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/parmetis.c.o [ 30%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/sfm.c.o [ 30%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/refine.c.o 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-4499\tensoradapter\pytorch\build\ZERO_CHECK.vcxproj" (default targets). 1>Project "C:\Jenkins\workspace\dgl_PR-4499\tensoradapter\pytorch\build\tensoradapter_pytorch.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4499\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj.metaproj" (3) on node 1 (default targets). 3>Project "C:\Jenkins\workspace\dgl_PR-4499\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj.metaproj" (3) is building "C:\Jenkins\workspace\dgl_PR-4499\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-4499\tensoradapter\pytorch\build\Release\". Creating directory "tensoradapter_pytorch_1.9.0.dir\Release\tensorad.B917DCF7.tlog\". InitializeBuildStatus: Creating "tensoradapter_pytorch_1.9.0.dir\Release\tensorad.B917DCF7.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4499/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-4499\tensoradapter\pytorch\..\include" /I"C:\Jenkins\workspace\dgl_PR-4499\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-4499\tensoradapter\pytorch\torch.cpp" torch.cpp Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_sum_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_sum_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_sum_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_sum_u32.o -- Looking for pthread_create in pthread - found -- Found Threads: TRUE Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_sum_i64.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 reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_sum_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_sum_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_sum_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_sum_f64.o [ 31%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/util.c.o [ 31%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/srefine.c.o [ 32%] Linking C static library libtensorpipe_uv.a [ 32%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/timing.c.o [ 32%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/stat.c.o [ 32%] Building C object third_party/METIS/libmetis/CMakeFiles/metis.dir/wspace.c.o -- Detecting CXX compiler ABI info - done [ 32%] Built target tensorpipe_uv -- 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 [ 32%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/socket.cc.o [ 32%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/address.cc.o [ 32%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/fd.cc.o [ 32%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/error.cc.o [ 32%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/context_impl.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/listener.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/pipe_impl.cc.o [ 33%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/helpers.cc.o [ 34%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/system.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/allocator.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/pipe.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/listener_impl.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/error.cc.o [ 36%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/error.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/channel_impl.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/factory.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/core/context.cc.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/basic/context_impl.cc.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_prod_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_prod_u8.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) Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_prod_i32.o CMake Warning at /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Caffe2/public/cuda.cmake:203 (message): Failed to compute shorthash for libnvrtc.so Call Stack (most recent call first): /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Caffe2/Caffe2Config.cmake:88 (include) /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:68 (find_package) CMakeLists.txt:26 (find_package) Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_prod_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_prod_i64.o [ 37%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/error.cc.o [ 38%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/context_impl.cc.o [ 38%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/channel_impl.cc.o [ 38%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/xth/factory.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/factory.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/channel_impl.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/cma/context_impl.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/channel_impl.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/context_impl.cc.o [ 39%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/channel/mpt/factory.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/context_impl.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/error.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/connection_impl.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/factory.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/sockaddr.cc.o [ 40%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/listener_impl.cc.o [ 42%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/loop.cc.o [ 42%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/uv/utility.cc.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_prod_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_prod_f16.o In file included from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.h:16:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/ibv/listener_impl.h:21, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/ibv/listener_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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 reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_prod_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_prod_f64.o -- Automatic GPU detection failed. Building for common architectures. -- Autodetected CUDA architecture(s): 3.5;5.0;5.2;6.0;6.1;7.0;7.5;7.5+PTX -- Added CUDA NVCC flags for: -gencode;arch=compute_35,code=sm_35;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_52,code=sm_52;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_75,code=compute_75 CMake Warning at /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message): static library kineto_LIBRARY-NOTFOUND not found. Call Stack (most recent call first): /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:127 (append_torchlib_if_found) CMakeLists.txt:26 (find_package) -- Found Torch: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/lib/libtorch.so -- tensoradapter found PyTorch includes: /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/include;/opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/torch/include/torch/csrc/api/include -- tensoradapter found PyTorch lib: torch -- Configured target tensoradapter_pytorch_1.9.0 -- Configuring done Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_min_i8.o -- Generating done -- Build files have been written to: /root/jenkins/workspace/dgl_PR-4499@2/tensoradapter/pytorch/build 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-4499\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-4499/tensoradapter/pytorch/build/Release/tensoradapter_pytorch_1.9.0.pdb" /SUBSYSTEM:CONSOLE /TLBID:1 /DYNAMICBASE /NXCOMPAT /IMPLIB:"C:/Jenkins/workspace/dgl_PR-4499/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-4499/tensoradapter/pytorch/build/Release/tensoradapter_pytorch_1.9.0.lib and object C:/Jenkins/workspace/dgl_PR-4499/tensoradapter/pytorch/build/Release/tensoradapter_pytorch_1.9.0.exp [ 42%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/epoll_loop.cc.o Generating nccl.h.in > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/include/nccl.h [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/shm_segment.cc.o Grabbing include/nccl_net.h > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/include/nccl_net.h [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/connection_impl.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/factory.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/context_impl.cc.o [ 43%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/reactor.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/listener_impl.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/shm/sockaddr.cc.o [ 44%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/common/ibv.cc.o [ 44%] 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/ibv/error.cc.o Generating nccl.pc.in > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/lib/pkgconfig/nccl.pc ================================================================================ LIBXSMM master-1.16.1-1534 (Linux@14710c00dabb) -------------------------------------------------------------------------------- GNU Compiler Collection: gcc 7.5.0, and g++ 7.5.0 C / C++ target: -msse4.2 Fortran Compiler is disabled or missing: no Fortran interface is built! -------------------------------------------------------------------------------- --- LIBXSMM build log Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_min_u8.o In file included from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/ibv/factory.cc:12: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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 reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_min_i32.o Scanning dependencies of target tensoradapter_pytorch_1.9.0 Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_min_u32.o In file included from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23:0, from /root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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) { ^~~~~~~~~~~~~~~~ [ 50%] Building CXX object CMakeFiles/tensoradapter_pytorch_1.9.0.dir/torch.cpp.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_min_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_min_u64.o [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/context_impl.cc.o /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/common/fd.cc: In member function ‘tensorpipe::Error tensorpipe::Fd::readFull(void*, size_t)’: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/common/fd.cc: In member function ‘tensorpipe::Error tensorpipe::Fd::writeFull(const void*, size_t)’: /root/jenkins/workspace/dgl_PR-4499@3/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) { | ~~~^~~~~~~~ [ 45%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/factory.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/sockaddr.cc.o [ 46%] Building CXX object third_party/tensorpipe/tensorpipe/CMakeFiles/tensorpipe.dir/transport/ibv/utility.cc.o Compiling init.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/init.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_min_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_min_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_min_f64.o tensoradapter_pytorch_1.9.0.vcxproj -> C:\Jenkins\workspace\dgl_PR-4499\tensoradapter\pytorch\build\Release\tensoradapter_pytorch_1.9.0.dll FinalizeBuildStatus: Deleting file "tensoradapter_pytorch_1.9.0.dir\Release\tensorad.B917DCF7.tlog\unsuccessfulbuild". Touching "tensoradapter_pytorch_1.9.0.dir\Release\tensorad.B917DCF7.tlog\tensoradapter_pytorch_1.9.0.lastbuildstate". 4>Done Building Project "C:\Jenkins\workspace\dgl_PR-4499\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj" (default targets). 3>Done Building Project "C:\Jenkins\workspace\dgl_PR-4499\tensoradapter\pytorch\build\tensoradapter_pytorch_1.9.0.vcxproj.metaproj" (default targets). 1>Done Building Project "C:\Jenkins\workspace\dgl_PR-4499\tensoradapter\pytorch\build\tensoradapter_pytorch.sln" (default targets). Build succeeded. 0 Warning(s) 0 Error(s) Time Elapsed 00:00:01.46 Release\tensoradapter_pytorch_1.9.0.dll 1 file(s) copied. Building Custom Rule C:/Jenkins/workspace/dgl_PR-4499/CMakeLists.txt FinalizeBuildStatus: Deleting file "x64\Release\tensoradapter_pytorch\tensorad.F3E53929.tlog\unsuccessfulbuild". Touching "x64\Release\tensoradapter_pytorch\tensorad.F3E53929.tlog\tensoradapter_pytorch.lastbuildstate". 12>Done Building Project "C:\Jenkins\workspace\dgl_PR-4499\build\tensoradapter_pytorch.vcxproj" (default targets). 10>Done Building Project "C:\Jenkins\workspace\dgl_PR-4499\build\tensoradapter_pytorch.vcxproj.metaproj" (default targets). 13>Lib: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\Lib.exe /OUT:"C:\Jenkins\workspace\dgl_PR-4499\build\lib\Release\gtest.lib" /NOLOGO /MACHINE:X64 /machine:x64 "gtest.dir\Release\gtest-all.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-4499\build\lib\Release\gmock.lib" /NOLOGO /MACHINE:X64 /machine:x64 "gmock.dir\Release\gtest-all.obj" "gmock.dir\Release\gmock-all.obj" 16>Lib: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\Lib.exe /OUT:"C:\Jenkins\workspace\dgl_PR-4499\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 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-4499\build\lib\Release\gmock_main.lib" /NOLOGO /MACHINE:X64 /machine:x64 "gmock_main.dir\Release\gtest-all.obj" "gmock_main.dir\Release\gmock-all.obj" gmock_main.dir\Release\gmock_main.obj 13>Lib: gtest.vcxproj -> C:\Jenkins\workspace\dgl_PR-4499\build\lib\Release\gtest.lib 15>Lib: gmock.vcxproj -> C:\Jenkins\workspace\dgl_PR-4499\build\lib\Release\gmock.lib 14>Lib: gmock_main.vcxproj -> C:\Jenkins\workspace\dgl_PR-4499\build\lib\Release\gmock_main.lib 16>Lib: dmlc.vcxproj -> C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\Release\dmlc.lib 15>FinalizeBuildStatus: Deleting file "gmock.dir\Release\gmock.tlog\unsuccessfulbuild". 16>FinalizeBuildStatus: Deleting file "dmlc.dir\Release\dmlc.tlog\unsuccessfulbuild". 15>FinalizeBuildStatus: Touching "gmock.dir\Release\gmock.tlog\gmock.lastbuildstate". 14>FinalizeBuildStatus: Deleting file "gmock_main.dir\Release\gmock_main.tlog\unsuccessfulbuild". 16>FinalizeBuildStatus: Touching "dmlc.dir\Release\dmlc.tlog\dmlc.lastbuildstate". 13>FinalizeBuildStatus: Deleting file "gtest.dir\Release\gtest.tlog\unsuccessfulbuild". 15>Done Building Project "C:\Jenkins\workspace\dgl_PR-4499\build\third_party\googletest\googlemock\gmock.vcxproj" (default targets). 14>FinalizeBuildStatus: Touching "gmock_main.dir\Release\gmock_main.tlog\gmock_main.lastbuildstate". 13>FinalizeBuildStatus: Touching "gtest.dir\Release\gtest.tlog\gtest.lastbuildstate". 16>Done Building Project "C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj" (default targets). 14>Done Building Project "C:\Jenkins\workspace\dgl_PR-4499\build\third_party\googletest\googlemock\gmock_main.vcxproj" (default targets). 13>Done Building Project "C:\Jenkins\workspace\dgl_PR-4499\build\third_party\googletest\googletest\gtest.vcxproj" (default targets). 5>Done Building Project "C:\Jenkins\workspace\dgl_PR-4499\build\third_party\googletest\googlemock\gmock.vcxproj.metaproj" (default targets). 4>Done Building Project "C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (default targets). 6>Done Building Project "C:\Jenkins\workspace\dgl_PR-4499\build\third_party\googletest\googlemock\gmock_main.vcxproj.metaproj" (default targets). 7>Done Building Project "C:\Jenkins\workspace\dgl_PR-4499\build\third_party\googletest\googletest\gtest.vcxproj.metaproj" (default targets). In file included from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/common/socket.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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 channel.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/channel.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_max_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_max_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_max_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_max_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_max_i64.o 1>Project "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj.metaproj" (3) on node 1 (default targets). 3>Project "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj.metaproj" (3) is building "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj" (17) on node 3 (default targets). 17>PrepareForBuild: Creating directory "C:\Jenkins\workspace\dgl_PR-4499\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-4499/CMakeLists.txt MakeDirsForCl: Creating directory "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.dir\Release\src\array\cpu". Creating directory "C:\Jenkins\workspace\dgl_PR-4499\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-4499\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4499\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\array.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\array_arith.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_cumsum.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_index_select.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_nonzero.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_op_impl.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_pack.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_repeat.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_scatter.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_sort.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\coo_coalesce.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\coo_linegraph.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\coo_remove.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\coo_sort.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_get_data.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_mm.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_remove.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_sort.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_sum.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_to_simple.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_union.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\disjoint_union.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\gather_mm.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\negative_sampling.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\rowwise_sampling.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\rowwise_topk.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\sddmm.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\segment_reduce.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\spmat_op_impl_coo.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\spmat_op_impl_csr.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\spmm.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\filter.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\kernel.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\array\uvm_array.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\bcast.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\c_api_common.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\dataloading\async_transferer.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\geometry\cpu\geometry_op_impl.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\geometry\geometry.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\partition\ndarray_partition.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\random\cpu\choice.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\random\random.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\runtime\c_object_api.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\runtime\c_runtime_api.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\runtime\cpu_device_api.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\runtime\dso_module.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\runtime\file_util.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\runtime\module.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\runtime\module_util.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\runtime\ndarray.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\runtime\object.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\runtime\registry.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\runtime\resource_manager.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\runtime\semaphore_wrapper.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\runtime\shared_mem.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\runtime\system_lib_module.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\runtime\tensordispatch.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\runtime\thread_pool.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\runtime\threading_backend.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\runtime\utils.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\runtime\workspace_pool.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\api\api_container.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\api\api_test.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\creators.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\gk_ops.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\graph.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\graph_apis.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\graph_op.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\graph_traversal.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\heterograph.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\heterograph_capi.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\immutable_graph.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\metis_partition.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\network.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\nodeflow.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\pickle.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampler.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\negative\global_uniform.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\neighbor\neighbor.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\get_node_types_cpu.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\node2vec.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\node2vec_cpu.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\randomwalk_cpu.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\randomwalks.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\serialize\dglgraph_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\serialize\graph_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\serialize\heterograph_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\serialize\tensor_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\serialize\zerocopy_serializer.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\shared_mem_manager.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\subgraph.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\compact.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\line_graph.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\metis_partition_hetero.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\partition_hetero.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\remove_edges.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\to_bipartite.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\to_simple.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\graph\unit_graph.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\scheduler\scheduler.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\scheduler\scheduler_apis.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\rpc\network\common.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\rpc\network\msg_queue.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\rpc\network\socket_communicator.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\rpc\network\socket_pool.cc" "C:\Jenkins\workspace\dgl_PR-4499\src\rpc\network\tcp_socket.cc" 1>Project "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4499\build\third_party\googletest\googletest\gtest_main.vcxproj.metaproj" (8) on node 1 (default targets). 8>Project "C:\Jenkins\workspace\dgl_PR-4499\build\third_party\googletest\googletest\gtest_main.vcxproj.metaproj" (8) is building "C:\Jenkins\workspace\dgl_PR-4499\build\third_party\googletest\googletest\gtest_main.vcxproj" (18) on node 1 (default targets). 18>PrepareForBuild: Creating directory "gtest_main.dir\Release\". Creating directory "gtest_main.dir\Release\gtest_main.tlog\". InitializeBuildStatus: Creating "gtest_main.dir\Release\gtest_main.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4499/third_party/googletest/googletest/CMakeLists.txt 17>ClCompile: array.cc array_arith.cc array_cumsum.cc array_index_select.cc array_nonzero.cc array_op_impl.cc array_pack.cc array_repeat.cc array_scatter.cc array_sort.cc coo_coalesce.cc coo_linegraph.cc coo_remove.cc coo_sort.cc csr_get_data.cc csr_mm.cc csr_remove.cc csr_sort.cc csr_sum.cc csr_to_simple.cc csr_union.cc disjoint_union.cc gather_mm.cc negative_sampling.cc rowwise_sampling.cc rowwise_topk.cc sddmm.cc segment_reduce.cc spmat_op_impl_coo.cc spmat_op_impl_csr.cc spmm.cc filter.cc 18>ClCompile: C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\bin\Release\gtest_main.pdb" /Gd /TP /wd4251 /wd4275 /wd4702 /errorReport:queue -J "C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googletest\src\gtest_main.cc" In file included from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:26: /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/common/strings.h: In function ‘bool tensorpipe::isValidUuid(const string&)’: /root/jenkins/workspace/dgl_PR-4499@3/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++) { | ~~^~~~~~~~~~~~~ Compiling bootstrap.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/bootstrap.o /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:15, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:51:35: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/transport/shm/sockaddr.h:20, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/shm/sockaddr.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:15, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:118:35: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/basic/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/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.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/transport.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_max_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_max_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_max_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_max_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i8.o gtest_main.cc /usr/bin/ar: creating lib/libxsmmnoblas.a In file included from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.h:20, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/common/queue.h: In instantiation of ‘void tensorpipe::Queue::push(T) [with T = tensorpipe::optional]’: /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/cma/context_impl.cc:324:25: required from here /root/jenkins/workspace/dgl_PR-4499@3/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_) { In file included from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.h:20, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/common/queue.h: In instantiation of ‘void tensorpipe::Queue::push(T) [with T = tensorpipe::optional]’: /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/xth/context_impl.cc:68:25: required from here /root/jenkins/workspace/dgl_PR-4499@3/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 enqueue.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/enqueue.o In file included from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:15, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:66:35: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.h:16, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:15, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:160:35: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/cma/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:15, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:65:35: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:15, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:157:35: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.h:14, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/xth/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/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); | ^~~~~~~~~~~~ [ 46%] Linking C static library libmetis.a [100%] Linking CXX shared library libtensoradapter_pytorch_1.9.0.so Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f16.o Compiling group.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/group.o /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In function ‘void tensorpipe::{anonymous}::parseDescriptorReplyOfMessage(tensorpipe::WriteOperation&, tensorpipe::DescriptorReply)’: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In function ‘std::shared_ptr > tensorpipe::{anonymous}::makeDescriptorForMessage(const tensorpipe::WriteOperation&)’: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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) { | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/uv/error.cc:11: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/common/busy_polling_loop.h:16, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/shm/reactor.h:20, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:22:51: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h:270:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 270 | TP_DCHECK_EQ(ret, size); | ^~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/transport/shm/reactor.cc:114:56: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/common/ringbuffer_role.h:248:5: note: in expansion of macro ‘TP_DCHECK_EQ’ 248 | TP_DCHECK_EQ(ret, size); | ^~~~~~~~~~~~ Compiling debug.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/debug.o In file included from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/ibv/utility.cc:28: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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 In file included from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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 reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i32.o /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc: In member function ‘void tensorpipe::PipeImpl::expectReadCall(tensorpipe::PipeImpl::ReadOpIter)’: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:19, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:131:33: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:17, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:19, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:132:33: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/channel_impl_boilerplate.h:17, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.h:17, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/channel/mpt/channel_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/uv/loop.h:21, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/uv/loop.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/uv/uv.h:18, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/uv/loop.h:21, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/uv/context_impl.h:18, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/uv/context_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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 proxy.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/proxy.o 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-4499\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-4499\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". 18>Done Building Project "C:\Jenkins\workspace\dgl_PR-4499\build\third_party\googletest\googletest\gtest_main.vcxproj" (default targets). 8>Done Building Project "C:\Jenkins\workspace\dgl_PR-4499\build\third_party\googletest\googletest\gtest_main.vcxproj.metaproj" (default targets). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f32.o In file included from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/uv/utility.cc:13: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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/nvmlwrap.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/misc/nvmlwrap.o In file included from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.h:19, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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 reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f64.o Compiling functions.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/functions.o Compiling onerank_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/onerank_reduce.o [100%] Built target tensoradapter_pytorch_1.9.0 'libtensoradapter_pytorch_1.9.0.so' -> '/root/jenkins/workspace/dgl_PR-4499@2/build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so' [ 46%] Built target tensoradapter_pytorch 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_nonzero.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_nonzero.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_nonzero.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\array_nonzero.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_cumsum.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_cumsum.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_cumsum.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\array_cumsum.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_index_select.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_index_select.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_index_select.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\array_index_select.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_scatter.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_scatter.cc) 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\coo_coalesce.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\coo_coalesce.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_scatter.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\coo_coalesce.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\array_scatter.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\coo_coalesce.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_pack.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_pack.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_pack.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\array_pack.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_sort.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_sort.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_sort.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\array_sort.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_repeat.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_repeat.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_repeat.cc) 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\coo_linegraph.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\coo_linegraph.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\array_repeat.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\coo_linegraph.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\coo_linegraph.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] kernel.cc libra_partition.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_to_simple.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_to_simple.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\csr_to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\gather_mm.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\gather_mm.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\gather_mm.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\gather_mm.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\disjoint_union.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\disjoint_union.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\disjoint_union.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\disjoint_union.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\coo_sort.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\coo_sort.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\coo_sort.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\coo_sort.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_union.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_union.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_union.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\csr_union.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_sort.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_sort.cc) uvm_array.cc C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_sort.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\csr_sort.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_op_impl.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_op_impl.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\array_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] bcast.cc In file included from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:225:21: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:280:34: required from here /root/jenkins/workspace/dgl_PR-4499@3/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 misc/ibvwrap.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/misc/ibvwrap.o In file included from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/shm/context_impl.cc:13: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:25, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:391:35: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:21, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:25, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:580:36: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/common/deferred_executor.h:23, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/common/callback.h:20, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/core/pipe_impl.h:21, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/core/pipe_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:225:21: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.cc:280:34: required from here /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/common/socket.h:41:8: warning: unused variable ‘dummy’ [-Wunused-variable] 41 | auto dummy = {(saveOneFdToArray(array[Idxs], fds), 0)...}; | ^~~~~ In file included from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/shm/listener_impl.h:16, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/shm/listener_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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) { | ^~~~~~~~~~~~~~~~ -- 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 -- Looking for pthread.h Compiling misc/gdrwrap.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/misc/gdrwrap.o In file included from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/uv/listener_impl.h:16, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/uv/listener_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/build/nccl/include/nccl.h:10, from include/devcomm.h:10, from include/transport.h:10, from include/comm.h:10, from include/enqueue.h:10, from enqueue.cc:7: /usr/local/cuda/include/cuda_runtime_api.h: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-4499@3/build/nccl/include/nccl.h:10, from include/devcomm.h:10, from include/transport.h:10, from include/comm.h:10, from include/enqueue.h:10, from enqueue.cc:7: /usr/local/cuda/include/cuda_runtime_api.h: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 misc/utils.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/misc/utils.o /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/transport/uv/sockaddr.h:16, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/uv/connection_impl.h:19, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/uv/factory.cc:12: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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 c_api_common.cc async_transferer.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\rowwise_topk.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\rowwise_topk.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\rowwise_topk.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\rowwise_topk.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] geometry_op_impl.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\segment_reduce.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\segment_reduce.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\segment_reduce.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\segment_reduce.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] geometry.cc ndarray_partition.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\negative_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\negative_sampling.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\negative_sampling.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\negative_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] In file included from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/ibv/context_impl.cc:11: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/build/nccl/obj/misc/argcheck.o In file included from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/shm/connection_impl.h:21, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/shm/factory.cc:12: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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/p2p.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/transport/p2p.o In file included from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/ibv/factory.cc:12: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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) { | ^~~~~~~~~~~~~~~~ choice.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\filter.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\filter.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\filter.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\filter.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] random.cc c_object_api.cc c_runtime_api.cc -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads Compiling transport/shm.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/transport/shm.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\array_arith.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\array_arith.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\array_arith.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\array_arith.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] cpu_device_api.cc dso_module.cc file_util.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\rowwise_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\rowwise_sampling.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\rowwise_sampling.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\rowwise_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] module.cc Compiling transport/net.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/transport/net.o In file included from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.h:23, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/ibv/connection_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/third_party/tensorpipe/tensorpipe/transport/ibv/sockaddr.h:16, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/ibv/listener_impl.h:21, from /root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/tensorpipe/transport/ibv/listener_impl.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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 pthreads - not found -- Looking for pthread_create in pthread Compiling transport/net_socket.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/transport/net_socket.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_get_data.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_get_data.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_get_data.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\csr_get_data.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] module_util.cc ndarray.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\coo_remove.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\coo_remove.cc) 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_remove.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\coo_remove.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\csr_remove.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\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-4499\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\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-4499\src\array\cpu\coo_remove.cc) 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\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-4499\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\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-4499\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\coo_remove.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\coo_remove.cc(62): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_remove.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_remove.cc(63): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_mm.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_mm.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_mm.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\csr_mm.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] Compiling transport/net_ib.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/transport/net_ib.o -- Looking for pthread_create in pthread - found -- Found Threads: TRUE -- Found CUDA: /usr/local/cuda (found version "11.6") Compiling transport/coll_net.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/transport/coll_net.o Compiling collectives/sendrecv.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/sendrecv.o Compiling collectives/all_reduce.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/all_reduce.o object.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(4088,24): warning C4244: '=': conversion from 'const _Ty' to 'IdType', possible loss of data [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _Ty=int64_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=int32_t, _FwdIt=int32_t *, _Ty=int64_t ] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\array.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\array.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\array.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\array.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_sum.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_sum.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_sum.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\csr_sum.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] registry.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\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-4499\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\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-4499\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\spmat_op_impl_csr.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\spmat_op_impl_csr.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\spmat_op_impl_csr.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _Ty2=int32_t Compiling collectives/all_gather.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/all_gather.o Compiling collectives/broadcast.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/broadcast.o Compiling collectives/reduce.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/reduce.o Compiling collectives/reduce_scatter.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/reduce_scatter.o Compiling graph/topo.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/graph/topo.o Compiling graph/paths.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/graph/paths.o ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=int32_t, _Other1=const int32_t &, _Other2=size_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] resource_manager.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\spmat_op_impl_coo.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\spmat_op_impl_coo.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] [ 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 /usr/bin/ar: creating lib/libxsmmgen.a Compiling graph/search.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/graph/search.o Compiling graph/connect.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/graph/connect.o Compiling graph/rings.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/graph/rings.o Compiling graph/trees.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/graph/trees.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\numeric(817,20): warning C4244: '=': conversion from '_Ty' to 'IdType', possible loss of data [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _Ty=int64_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=int32_t, _FwdIt=int32_t *, _Ty=int64_t ] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4244: 'initializing': conversion from '_Ty' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _Ty=__int64 ] and [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=int32_t, _Ty=std::pair, _Other1=std::pair, _Other2=__int64 ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=int32_t, _Ty=std::pair, _Other1=std::pair, _Other2=__int64 ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\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-4499\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-4499\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-4499\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-4499\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-4499\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-4499\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-4499\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-4499\src\array\cpu\spmat_op_impl_coo.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\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-4499\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-4499\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-4499\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-4499\build\dgl.vcxproj] Compiling graph/tuning.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/graph/tuning.o Compiling graph/xml.cc > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/graph/xml.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\spmm.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\spmm.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\spmm.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\spmm.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] semaphore_wrapper.cc shared_mem.cc [ 55%] Linking CXX static library ../../../lib/libgtest_main.a [ 55%] Built target gtest_main -- The CUDA compiler identification is NVIDIA 11.6.124 -- Detecting CUDA compiler ABI info Generating rules > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/Makefile.rules system_lib_module.cc [ 48%] Linking CXX static library ../../../lib/libgtest.a [ 48%] Built target gtest Scanning dependencies of target gtest_main 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 ================================================================================ LIBXSMM master-1.16.1-1534 (Linux@df6c58298c69) -------------------------------------------------------------------------------- GNU Compiler Collection: gcc 7.5.0, and g++ 7.5.0 C / C++ target: -msse4.2 Fortran Compiler is disabled or missing: no Fortran interface is built! -------------------------------------------------------------------------------- --- LIBXSMM build log nvcc warning : The 'compute_35', 'compute_37', '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). tensordispatch.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\sddmm.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\sddmm.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\sddmm.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\sddmm.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] -- Detecting CUDA compiler ABI info - done -- Check for working CUDA compiler: /usr/local/cuda/bin/nvcc - skipped [ 48%] Linking CXX static library ../../../lib/libgtest_main.a [ 48%] Built target gtest_main /usr/bin/ar: creating lib/libxsmmnoblas.a thread_pool.cc threading_backend.cc utils.cc workspace_pool.cc -- 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 api_container.cc 17>C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc(395,16): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc(395,16): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc(395,16): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc(395,16): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc(395,16): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc(395,16): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] -- 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) 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\c_api_common.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\c_api_common.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\c_api_common.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\c_api_common.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\uvm_array.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\uvm_array.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\uvm_array.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\uvm_array.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\geometry\cpu\geometry_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\geometry\cpu\geometry_op_impl.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\geometry\cpu\geometry_op_impl.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\geometry\cpu\geometry_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] -- /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 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-4499@3/tensoradapter/pytorch/build [ 50%] Building CXX object CMakeFiles/tensoradapter_pytorch_1.12.0a0.dir/torch.cpp.o api_test.cc creators.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\partition\ndarray_partition.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\partition\ndarray_partition.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\partition\ndarray_partition.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\partition\ndarray_partition.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\geometry\geometry.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\geometry\geometry.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\geometry\geometry.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\geometry\geometry.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc(283,10): message : consider using '%zd' in the format string [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc(290,12): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc(290,12): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc(290,12): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc(295,12): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc(295,12): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc(295,12): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=IdType ] C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc(273,21): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc(273,21): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc(273,21): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=IdType ] C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc(273,21): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc(273,21): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc(273,21): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] gk_ops.cc 17>C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ _Ty=int64_t ] C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc(286,17): message : consider using '%lld' in the format string [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc(286,17): message : consider using '%Id' in the format string [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc(286,17): message : consider using '%I64d' in the format string [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] graph.cc graph_apis.cc [ 55%] Linking CXX static library libtensorpipe.a [ 55%] Built target tensorpipe [ 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 Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/sendrecv_sum_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/sendrecv_sum_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/sendrecv_sum_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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). graph_op.cc graph_traversal.cc Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). [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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/sendrecv_sum_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/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). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/sendrecv_prod_u8.o heterograph.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(4088,24): warning C4244: '=': conversion from 'const _Ty' to 'float', possible loss of data [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _Ty=int ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ _Ty=ValueType, _FwdIt=std::_Vector_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdxType=int64_t, FloatType=float ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdxType=int64_t, FloatType=float ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4499\src\random\cpu\choice.cc(42): message : see reference to class template instantiation 'dgl::utils::TreeSampler' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ IdxType=int64_t, FloatType=float ] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] heterograph_capi.cc Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_sum_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_sum_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_sum_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_sum_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_sum_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_sum_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_sum_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_sum_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_sum_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_prod_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_prod_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_prod_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_prod_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_prod_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_prod_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_prod_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_prod_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_prod_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_min_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_min_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_min_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_min_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_min_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_min_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_min_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_min_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_min_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_max_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_max_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_max_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_max_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_max_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_max_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_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). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/build/nccl/obj/collectives/device/sendrecv_prod_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/build/nccl/obj/collectives/device/sendrecv_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). immutable_graph.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\random\cpu\choice.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\random\cpu\choice.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\random\cpu\choice.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] metis_partition.cc Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_max_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_max_f64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_premulsum_i8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_premulsum_u8.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_premulsum_i32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_premulsum_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/sendrecv_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). [100%] Built target tensoradapter_pytorch_1.12.0a0 'libtensoradapter_pytorch_1.12.0a0.so' -> '/root/jenkins/workspace/dgl_PR-4499@3/build/tensoradapter/pytorch/libtensoradapter_pytorch_1.12.0a0.so' Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/sendrecv_prod_f64.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(51,1): warning C4005: 'INT32_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\third_party\METIS\include\metis.h(75): message : see previous definition of 'INT32_MIN' (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(52,1): warning C4005: 'INT64_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\third_party\METIS\include\metis.h(77): message : see previous definition of 'INT64_MIN' (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(55,1): warning C4005: 'INT32_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\third_party\METIS\include\metis.h(76): message : see previous definition of 'INT32_MAX' (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\stdint.h(56,1): warning C4005: 'INT64_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\third_party\METIS\include\metis.h(78): message : see previous definition of 'INT64_MAX' (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\libra_partition.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\random\random.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\random\random.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\random\random.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\random\random.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] network.cc nodeflow.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\kernel.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\kernel.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\kernel.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\kernel.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_premulsum_i64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_premulsum_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_premulsum_f16.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_premulsum_f32.o [ 49%] Linking CXX static library ../../../lib/libgmock.a Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_premulsum_f64.o [ 55%] Linking CXX static library ../../../lib/libgmock_main.a [ 55%] Built target gmock_main nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). [ 46%] Built target tensoradapter_pytorch Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/build/nccl/obj/collectives/device/sendrecv_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). pickle.cc sampler.cc Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i8.o [ 49%] Built target gmock Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u8.o Scanning dependencies of target gmock_main Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i32.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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u32.o [ 55%] Linking CXX static library libdmlc.a Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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). global_uniform.cc Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i64.o /usr/bin/ar: creating lib/libxsmmgen.a Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f16.o [ 49%] Built target tensorpipe Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f64.o [ 55%] 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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/sendrecv_min_u32.o [ 48%] Linking CXX static library ../../../lib/libgtest.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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/sendrecv_min_i64.o neighbor.cc Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_sum_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_sum_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_sum_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_sum_u32.o [ 48%] Built target gtest Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). [ 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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/sendrecv_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). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/sendrecv_min_f32.o get_node_types_cpu.cc Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_sum_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_sum_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_sum_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_sum_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/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). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_prod_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_prod_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_prod_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_prod_u32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/sendrecv_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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/sendrecv_max_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_prod_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_prod_u64.o [ 49%] Linking CXX static library libdmlc.a [ 49%] Linking CXX static library ../../../lib/libgmock_main.a Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/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). Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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 all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_prod_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_prod_f64.o [ 49%] Built target dmlc Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_min_i8.o [ 49%] Built target gmock_main Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_min_u8.o node2vec.cc /usr/bin/ar: creating lib/libxsmm.a /usr/bin/ar: creating lib/libxsmmext.a Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). [ 48%] Linking CXX static library ../../../lib/libgtest_main.a Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_min_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_min_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_min_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_min_u64.o node2vec_cpu.cc randomwalk_cpu.cc ================================================================================ Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_min_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_min_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_min_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_max_i8.o randomwalk_with_restart_cpu.cc randomwalks.cc LIBXSMM master-1.16.1-1534 (Linux@14710c00dabb) -------------------------------------------------------------------------------- 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 [ 48%] Built target gtest_main Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/sendrecv_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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_max_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_max_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_max_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_max_i64.o dglgraph_serialize.cc graph_serialize.cc 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_pack.cc.o [ 55%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_scatter.cc.o [ 55%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_remove.cc.o [ 55%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/rowwise_sampling.cc.o [ 56%] Building CXX object 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86%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/neighbor/neighbor.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/partition_hetero.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/heterograph_serialize.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_pool.cc.o [ 88%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/tcp_socket.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/rpc/tensorpipe/tp_communicator.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/runtime/shared_mem.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/node2vec.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/negative/global_uniform.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/shared_mem_manager.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/msg_queue.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_simple.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/union_partition.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/metis_partition_hetero.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/rpc/rpc.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/unit_graph.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/tensor_serialize.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/common.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler_apis.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/knn.cc.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/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 all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_max_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_max_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_max_f32.o heterograph_serialize.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\runtime\utils.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\runtime\utils.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\aten\./array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\runtime\utils.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\runtime\utils.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] tensor_serialize.cc Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_max_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_premulsum_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_premulsum_u8.o zerocopy_serializer.cc shared_mem_manager.cc Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/sendrecv_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 sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/sendrecv_premulsum_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_premulsum_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_premulsum_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_premulsum_i64.o subgraph.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\creators.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\creators.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\creators.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\creators.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/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 all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_premulsum_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_premulsum_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_premulsum_f32.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\gk_ops.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\gk_ops.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\gk_ops.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\gk_ops.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] compact.cc line_graph.cc metis_partition_hetero.cc Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/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 all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_premulsum_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u8.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\graph_traversal.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\graph_traversal.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\graph_traversal.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\graph_traversal.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] partition_hetero.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\get_node_types_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\get_node_types_cpu.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\get_node_types_cpu.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\sampling\randomwalks\get_node_types_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\metis_partition.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\metis_partition.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\graph.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\graph.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\graph.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\graph.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). /root/jenkins/workspace/dgl_PR-4499/src/graph/serialize/zerocopy_serializer.cc: In function 'void dgl::RawDataTensoDLPackDeleter(DLManagedTensor*)': /root/jenkins/workspace/dgl_PR-4499/src/graph/serialize/zerocopy_serializer.cc:24:34: warning: deleting 'void*' is undefined [-Wdelete-incomplete] delete[] ctx->tensor.dl_tensor.data; ^~~~ Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_i64.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\nodeflow.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\nodeflow.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\nodeflow.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\nodeflow.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\negative\global_uniform.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\negative\global_uniform.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\negative\global_uniform.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\sampling\negative\global_uniform.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] remove_edges.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\graph_apis.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\graph_apis.cc) 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\immutable_graph.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\immutable_graph.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\graph_apis.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\immutable_graph.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\graph_apis.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\immutable_graph.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/sendrecv_premulsum_i64.o /root/jenkins/workspace/dgl_PR-4499/src/rpc/network/common.cc: In function 'void dgl::network::StringAppendV(std::__cxx11::string*, const char*, __va_list_tag*)': /root/jenkins/workspace/dgl_PR-4499/src/rpc/network/common.cc:71:32: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if ((result >= 0) && (result < sizeof(space))) { ~~~~~~~^~~~~~~~~ Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f32.o to_bipartite.cc to_simple.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const unsigned __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=uint64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\heterograph.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampler.cc(1526,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/sendrecv_premulsum_u64.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_sum_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_sum_u8.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\neighbor\neighbor.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\neighbor\neighbor.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\neighbor\neighbor.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\sampling\neighbor\neighbor.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampler.cc(1751,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampler.cc(1693): message : while compiling class template member function 'void dgl::WeightedEdgeSamplerObject::Fetch(dgl::runtime::DGLRetValue *)' [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampler.cc(1842): message : see reference to class template instantiation 'dgl::WeightedEdgeSamplerObject' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] unit_graph.cc Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/sendrecv_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-4499@2/build/nccl/obj/collectives/device/all_gather_sum_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_sum_u32.o In file included from /root/jenkins/workspace/dgl_PR-4499/src/geometry/../c_api_common.h:10:0, from /root/jenkins/workspace/dgl_PR-4499/src/geometry/geometry.cc:9: /root/jenkins/workspace/dgl_PR-4499/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; ^~~~~~~~~~~ scheduler.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\pickle.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\pickle.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\pickle.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\pickle.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] scheduler_apis.cc Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/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 all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_sum_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_sum_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_sum_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_sum_f32.o Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_i8.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\node2vec.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\node2vec.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\node2vec.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\sampling\randomwalks\node2vec.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] common.cc Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_sum_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_prod_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_prod_u8.o /root/jenkins/workspace/dgl_PR-4499/src/graph/gk_ops.cc: In function 'gk_csr_t* dgl::Convert2GKCsr(dgl::aten::CSRMatrix, bool)': /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/src/partition/ndarray_partition.cc: In member function 'virtual int64_t dgl::partition::RangePartition::PartSize(int) const': /root/jenkins/workspace/dgl_PR-4499/src/partition/ndarray_partition.cc:202:3: warning: control reaches end of non-void function [-Wreturn-type] } ^ /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/src/graph/transform/cpu/knn.cc:590:47: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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) { ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/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). msg_queue.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_prod_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_prod_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_prod_i64.o In file included from /root/jenkins/workspace/dgl_PR-4499/include/dgl/array.h:13:0, from /root/jenkins/workspace/dgl_PR-4499/include/dgl/graph_interface.h:16, from /root/jenkins/workspace/dgl_PR-4499/include/dgl/sampler.h:13, from /root/jenkins/workspace/dgl_PR-4499/src/graph/sampler.cc:6: /root/jenkins/workspace/dgl_PR-4499/src/graph/sampler.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4499/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-4499/include/dgl/./aten/macro.h:121:6: note: in definition of macro 'ATEN_FLOAT_TYPE_SWITCH' {__VA_ARGS__} \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/graph/sampler.cc:938:11: note: in expansion of macro 'CHECK' CHECK(probability->shape[0] == gptr->NumEdges()) ^~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/include/dgl/./aten/macro.h:124:6: note: in definition of macro 'ATEN_FLOAT_TYPE_SWITCH' {__VA_ARGS__} \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/third_party/dmlc-core/include/dmlc/logging.h:132:0, from /root/jenkins/workspace/dgl_PR-4499/include/dgl/./runtime/object.h:9, from /root/jenkins/workspace/dgl_PR-4499/include/dgl/graph_interface.h:15, from /root/jenkins/workspace/dgl_PR-4499/include/dgl/sampler.h:13, from /root/jenkins/workspace/dgl_PR-4499/src/graph/sampler.cc:6: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/src/graph/transform/cpu/knn.cc:594:47: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/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-4499/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/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-4499/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/src/graph/transform/cpu/knn.cc:598:47: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/src/graph/transform/cpu/knn.cc:602:47: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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) { ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). socket_communicator.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const unsigned __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=uint64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\graph_op.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xstddef(240,54): warning C4018: '<': signed/unsigned mismatch (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\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-4499\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-4499\build\dgl.vcxproj] with [ _FwdIt=const int64_t *, _Ty=dgl::dgl_id_t, _Pr=std::less ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdxType=int64_t, _FwdIt=const int64_t *, _Ty=dgl::dgl_id_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdxType=int64_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdxType=int64_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\node2vec_cpu.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdxType=int64_t ] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xstddef(242,43): warning C4018: '<': signed/unsigned mismatch (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\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-4499\src\graph\sampling\randomwalks\node2vec_cpu.cc) Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_prod_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_prod_f16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_prod_f32.o [ 48%] Linking CXX static library libtensorpipe.a Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/sendrecv_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). 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\network.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\network.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\network.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\network.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\heterograph_capi.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\heterograph_capi.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\heterograph_capi.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\heterograph_capi.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] socket_pool.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\randomwalk_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_prod_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_min_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_min_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_min_i32.o /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/src/array/kernel.cc:331:16: warning: unused variable 'format' [-Wunused-variable] SparseFormat format = graph->SelectFormat(0, CSC_CODE); ^~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/kernel.cc:353:16: warning: unused variable 'format' [-Wunused-variable] SparseFormat format = graph->SelectFormat(0, CSC_CODE); ^~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/graph/heterograph_capi.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/src/array/libra_partition.cc:43:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/graph/transform/compact.cc:146:59: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/src/graph/transform/compact.cc:154:59: required from here /root/jenkins/workspace/dgl_PR-4499/src/graph/transform/compact.cc:72:24: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\sampling\randomwalks\randomwalk_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] tcp_socket.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\randomwalks.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\randomwalks.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\randomwalks.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\sampling\randomwalks\randomwalks.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(207,16): warning C4244: 'initializing': conversion from '_Ty' to '_Ty1', possible loss of data [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _Ty=std::chrono::system_clock::rep ] and [ _Ty1=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdxType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdxType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ _Alloc=std::allocator>, _Ty=std::pair, _Objty=std::pair ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ _Alloc=std::allocator>, _Ty=std::pair, _Objty=std::pair ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdxType=int32_t, _Ty=std::pair<__int64,int> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\randomwalk_cpu.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdxType=int32_t ] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_min_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_min_i64.o [ 49%] Linking CXX static library ../../../lib/libgmock.a [ 49%] Built target tensorpipe nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_u64.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\serialize\tensor_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\serialize\tensor_serialize.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\serialize\tensor_serialize.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\serialize\tensor_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,1): warning C4267: '=': conversion from 'size_t' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=unsigned __int64, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampler.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_min_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_min_f16.o /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:325:11: warning: unused variable 'message_size' [-Wunused-variable] int64_t message_size = args[0]; ^~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4499/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-4499/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) { ~~^~~~~~~~~~~~~~~~~~~ Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_f16.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). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_min_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_min_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_max_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_max_u8.o In file included from /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/./spmm.h:18:0, from /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:6: /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/spmm.cc:138:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/spmm.cc:142:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/spmm.cc:146:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/spmm.cc:150:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/spmm.cc:158:49: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ [ 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-4499@3/build/nccl/obj/collectives/device/sendrecv_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-4499@2/build/nccl/obj/collectives/device/all_gather_max_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_max_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_max_i64.o /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/spmm.cc:165:49: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/spmm.cc:172:49: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/spmm.cc:179:49: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/spmm.cc:186:49: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/spmm.cc:193:49: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/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-4499/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ Compiling sendrecv.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/sendrecv_sumpostdiv_bf16.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_max_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_max_f16.o 17>In file included from /root/jenkins/workspace/dgl_PR-4499/src/array/cpu/spmm.cc:6:0: /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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; ^~~~~~~ Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_max_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_max_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_premulsum_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_premulsum_u8.o C:\Jenkins\workspace\dgl_PR-4499\third_party\METIS\include\metis.h(75,1): warning C4005: 'INT32_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4499\third_party\METIS\include\metis.h(76,1): warning C4005: 'INT32_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4499\third_party\METIS\include\metis.h(77,1): warning C4005: 'INT64_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Jenkins\workspace\dgl_PR-4499\third_party\METIS\include\metis.h(78,1): warning C4005: 'INT64_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\serialize\graph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\serialize\graph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\serialize\graph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\serialize\graph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\serialize\dglgraph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\serialize\dglgraph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\aten\./array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\serialize\dglgraph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\serialize\dglgraph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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; ^~~~~~~ Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_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 all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_premulsum_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_premulsum_u32.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\subgraph.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\subgraph.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\subgraph.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\subgraph.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\serialize\heterograph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\serialize\heterograph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499/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-4499/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; ^~~~~~~ Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_premulsum_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_premulsum_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_reduce_sum_u32.o [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\serialize\heterograph_serialize.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\serialize\heterograph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\shared_mem_manager.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\shared_mem_manager.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\shared_mem_manager.cc) Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_premulsum_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_premulsum_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_reduce_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_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_reduce_sum_u64.o C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\shared_mem_manager.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_reduce_sum_f16.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\line_graph.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\line_graph.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\line_graph.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\transform\line_graph.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_reduce_sum_f32.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\metis_partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\metis_partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/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_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/all_gather_sumpostdiv_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_sum_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_sum_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_reduce_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_sum_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_sum_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_sum_i64.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\remove_edges.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\remove_edges.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\remove_edges.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\transform\remove_edges.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_reduce_prod_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_sum_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_sum_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_sum_f32.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\tuple(632,57): warning C4244: '=': conversion from '_Ty' to 'IdType', possible loss of data [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _Ty=dgl::dgl_id_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\tuple(633,58): warning C4244: '=': conversion from '_Ty' to 'IdType', possible loss of data [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _Ty=dgl::dgl_id_t ] and [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\compact.cc) 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\to_simple.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\to_simple.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\transform\to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4244: 'initializing': conversion from '_Ty' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _Ty=dgl::dgl_id_t ] and [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\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-4499\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\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-4499\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\compact.cc(74): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ IdType=int32_t ] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\compact.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\compact.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\transform\compact.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] nvcc warning : The 'compute_35', 'compute_37', '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 LIBXSMM master-1.16.1-1534 (Linux@2b4b6f6adf15) -------------------------------------------------------------------------------- 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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_sum_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_prod_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_prod_u8.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\scheduler\scheduler_apis.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\scheduler\scheduler_apis.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\scheduler\scheduler_apis.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\scheduler\scheduler_apis.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const unsigned __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const unsigned __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=uint64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\partition_hetero.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\utility(151,1): warning C4267: 'initializing': conversion from 'size_t' to '_Ty2', possible loss of data [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _Ty2=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\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-4499\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\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-4499\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=int32_t ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\to_bipartite.cc(80): message : see reference to class template instantiation 'dgl::aten::IdHashMap' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ IdType=int32_t ] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\to_bipartite.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_prod_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_prod_u32.o C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\to_bipartite.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\transform\to_bipartite.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] [ 49%] Built target gmock_main nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/all_reduce_prod_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_reduce_prod_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_prod_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_prod_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_prod_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_prod_f32.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\rpc\network\socket_communicator.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\rpc\network\socket_communicator.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\rpc\network\socket_communicator.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\rpc\network\socket_communicator.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_prod_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_min_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_min_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_min_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_min_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_reduce_prod_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_min_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_min_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_min_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_min_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_max_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_max_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@2/build/nccl/obj/collectives/device/broadcast_max_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_max_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_max_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_reduce_min_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_max_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_max_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_max_f32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_max_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_premulsum_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_premulsum_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_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). [ 49%] Linking CXX static library libdmlc.a Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_premulsum_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_premulsum_u32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_premulsum_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). /usr/bin/ar: creating lib/libxsmmnoblas.a /usr/bin/ar: creating lib/libxsmm.a Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_premulsum_u64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_premulsum_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_premulsum_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_premulsum_f64.o [ 49%] Built target dmlc Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_reduce_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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u64.o /usr/bin/ar: creating lib/libxsmmext.a Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/broadcast_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_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_reduce_min_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_sum_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_sum_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_sum_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_sum_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_reduce_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 reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_sum_i64.o ================================================================================ Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_sum_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_sum_f16.o LIBXSMM master-1.16.1-1534 (Linux@df6c58298c69) -------------------------------------------------------------------------------- GNU Compiler Collection: gcc 7.5.0, and g++ 7.5.0 C / C++ target: -msse4.2 Fortran Compiler is disabled or missing: no Fortran interface is built! -------------------------------------------------------------------------------- BLAS dependency and fallback is removed! -------------------------------------------------------------------------------- Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_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 all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_sum_f32.o [ 49%] Built target libxsmm Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_sum_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/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 all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_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 all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_reduce_max_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_prod_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_prod_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_prod_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_prod_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_prod_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_prod_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_prod_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_prod_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_min_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_min_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_min_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_min_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_min_i64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_reduce_max_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_min_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_min_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_min_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/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 all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_max_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_max_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_max_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_max_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_reduce_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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_max_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_max_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_reduce_max_bf16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_max_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_max_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_premulsum_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_premulsum_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_premulsum_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_premulsum_u32.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_reduce_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.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_premulsum_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_premulsum_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_premulsum_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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 reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_premulsum_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_premulsum_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_i8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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 reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_u8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/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 all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_reduce_premulsum_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_f16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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 reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/reduce_sumpostdiv_f64.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/all_reduce_premulsum_bf16.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_u8.o Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_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 all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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). 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-4499\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4499\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\cpu\traversal.cc" traversal.cc 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4499\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-4499\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-4499\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4499\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\array\union_partition.cc" union_partition.cc Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_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). 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling all_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_reduce_sumpostdiv_bf16.o C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4499\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4499\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\transform\cpu\knn.cc" nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/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). knn.cc Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/all_gather_sum_i64.o /usr/bin/ar: creating lib/libxsmmgen.a 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/build/nccl/obj/collectives/device/all_gather_sum_f64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_gather_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). 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-4499\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4499\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\transform\knn.cc" knn.cc nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/all_gather_prod_i8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_gather_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 all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/all_gather_prod_u32.o C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4499\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4499\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\transform\union_partition.cc" nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/all_gather_prod_i64.o union_partition.cc Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_gather_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_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/build/nccl/obj/collectives/device/all_gather_prod_f32.o /usr/bin/ar: creating lib/libxsmm.a Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_gather_prod_f64.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/all_gather_prod_bf16.o /usr/bin/ar: creating lib/libxsmmext.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_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_gather_min_i8.o C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\bin\HostX64\x64\CL.exe /c /I"C:\Jenkins\workspace\dgl_PR-4499\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\METIS\include" /I"C:\Jenkins\workspace\dgl_PR-4499\tensoradapter\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\nanoflann\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googletest" /I"C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\traversal.cc" traversal.cc Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', '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-4499@3/build/nccl/obj/collectives/device/all_gather_min_i32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/all_gather_min_i64.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_gather_min_u64.o 17>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3643): message : see reference to function template instantiation '_OutIt std::_Copy_unchecked(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). ================================================================================ 17>PreLinkEvent: Auto build dll exports setlocal cd C:\Jenkins\workspace\dgl_PR-4499\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-4499/build/dgl.dir/Release/exports.def C:/Jenkins/workspace/dgl_PR-4499/build/dgl.dir/Release//objects.txt if %errorlevel% neq 0 goto :cmEnd :cmEnd endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone :cmErrorLevel exit /b %1 :cmDone if %errorlevel% neq 0 goto :VCEnd :VCEnd Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_gather_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). LIBXSMM master-1.16.1-1534 (Linux@2b4b6f6adf15) -------------------------------------------------------------------------------- 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! -------------------------------------------------------------------------------- Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). [ 49%] Built target libxsmm 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-4499\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-4499/build/dgl.dir/Release/exports.def" /MANIFEST /MANIFESTUAC:"level='asInvoker' uiAccess='false'" /manifest:embed /PDB:"C:/Jenkins/workspace/dgl_PR-4499/build/Release/dgl.pdb" /SUBSYSTEM:CONSOLE /TLBID:1 /DYNAMICBASE /NXCOMPAT /IMPLIB:"C:/Jenkins/workspace/dgl_PR-4499/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 Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Creating library C:/Jenkins/workspace/dgl_PR-4499/build/Release/dgl.lib and object C:/Jenkins/workspace/dgl_PR-4499/build/Release/dgl.exp Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_gather_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 all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). dgl.vcxproj -> C:\Jenkins\workspace\dgl_PR-4499\build\Release\dgl.dll PostBuildEvent: setlocal "C:\Program Files\CMake\bin\cmake.exe" -E copy C:/Jenkins/workspace/dgl_PR-4499/build/Release/dgl.dll C:/Jenkins/workspace/dgl_PR-4499/build/Release/.. if %errorlevel% neq 0 goto :cmEnd :cmEnd endlocal & call :cmErrorLevel %errorlevel% & goto :cmDone :cmErrorLevel exit /b %1 :cmDone if %errorlevel% neq 0 goto :VCEnd :VCEnd FinalizeBuildStatus: Deleting file "dgl.dir\Release\dgl.tlog\unsuccessfulbuild". Touching "dgl.dir\Release\dgl.tlog\dgl.lastbuildstate". 17>Done Building Project "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj" (default targets). 3>Done Building Project "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj.metaproj" (default targets). 1>Project "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.sln" (1) is building "C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj.metaproj" (9) on node 1 (default targets). 9>Project "C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj.metaproj" (9) is building "C:\Jenkins\workspace\dgl_PR-4499\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-4499/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-4499\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\dlpack\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\xbyak" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\phmap" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\libxsmm\include" /I"C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\include" /I"C:\Jenkins\workspace\dgl_PR-4499\third_party\googletest\googletest\include" /I"C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\graph_index_test.cc" "C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\message_queue_test.cc" "C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\socket_communicator_test.cc" "C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\string_test.cc" "C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_aten.cc" "C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_csrmm.cc" "C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_partition.cc" "C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_rowwise.cc" "C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_sampler.cc" "C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_smart_ptr_serialize.cc" "C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_spmat_coo.cc" "C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_spmat_csr.cc" "C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_spmm.cc" "C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_unit_graph.cc" "C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_zerocopy_serialize.cc" Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). graph_index_test.cc message_queue_test.cc socket_communicator_test.cc string_test.cc test_aten.cc test_csrmm.cc test_partition.cc test_rowwise.cc test_sampler.cc test_serialize.cc test_smart_ptr_serialize.cc test_spmat_coo.cc test_spmat_csr.cc test_spmm.cc test_unit_graph.cc test_zerocopy_serialize.cc Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_gather_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). 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-4499\tests\cpp\graph_index_test.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\graph_index_test.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\graph_index_test.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\graph_index_test.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\test_spmat_coo.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_spmat_coo.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_spmat_coo.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\test_spmat_coo.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\test_partition.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_partition.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_partition.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\test_partition.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_unit_graph.cc(137,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_unit_graph.cc(399): message : see reference to function template instantiation 'void _TestUnitGraph(DLContext)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_unit_graph.cc(139,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_unit_graph.cc(142,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj] 19>C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_unit_graph.cc(144,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\test_spmat_csr.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_spmat_csr.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_spmat_csr.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\test_spmat_csr.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj] nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/all_gather_max_f32.o 19>C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_serialize.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_serialize.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\test_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\test_zerocopy_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_zerocopy_serialize.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_zerocopy_serialize.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\test_zerocopy_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\test_unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_unit_graph.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\test_unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\runUnitTests.vcxproj] with [ _Ty=int ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\runUnitTests.vcxproj] with [ _Ty=float, _FwdIt=std::_Vector_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\runUnitTests.vcxproj] with [ Idx=int64_t, DType=float ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\runUnitTests.vcxproj] with [ Idx=int64_t, DType=float ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_sampler.cc(86): message : see reference to class template instantiation 'dgl::utils::TreeSampler' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj] with [ Idx=int64_t, DType=float ] C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_sampler.cc(99): message : see reference to function template instantiation 'void _TestWithoutReplacementOrder(dgl::RandomEngine *)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\test_aten.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_aten.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_aten.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\test_aten.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\test_sampler.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_sampler.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\test_sampler.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj] Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). 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-4499\tests\cpp\test_csrmm.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_csrmm.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_csrmm.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\test_csrmm.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj] Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). 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-4499\tests\cpp\test_rowwise.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _InIt=const __int64 * ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_rowwise.cc) C:\Jenkins\workspace\dgl_PR-4499\include\dgl\./aten/array_ops.h(349): message : see reference to function template instantiation '_OutIt std::copy>>,int32_t*>(_InIt,_InIt,_OutIt)' being compiled [C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj] with [ _OutIt=int32_t *, _Ty=int64_t, _InIt=std::_Vector_const_iterator>> ] (compiling source file C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_rowwise.cc) C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\test_rowwise.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj] Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_gather_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 all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/build/nccl/obj/collectives/device/all_gather_premulsum_f32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_gather_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_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/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-4499@3/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u8.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/all_gather_sumpostdiv_u32.o Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/all_gather_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_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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). Compiling all_gather.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/build/nccl/obj/collectives/device/all_gather_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/broadcast_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/broadcast_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/broadcast_sum_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/broadcast_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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). 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-4499\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-4499/build/Release/runUnitTests.pdb" /SUBSYSTEM:CONSOLE /TLBID:1 /DYNAMICBASE /NXCOMPAT /IMPLIB:"C:/Jenkins/workspace/dgl_PR-4499/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-4499/build/Release/runUnitTests.lib and object C:/Jenkins/workspace/dgl_PR-4499/build/Release/runUnitTests.exp runUnitTests.vcxproj -> C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\runUnitTests.vcxproj" (default targets). 9>Done Building Project "C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj.metaproj" (default targets). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/broadcast_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). 2>Project "C:\Jenkins\workspace\dgl_PR-4499\build\ALL_BUILD.vcxproj.metaproj" (2) is building "C:\Jenkins\workspace\dgl_PR-4499\build\ALL_BUILD.vcxproj" (20) on node 4 (default targets). 20>PrepareForBuild: Creating directory "x64\Release\ALL_BUILD\". Creating directory "x64\Release\ALL_BUILD\ALL_BUILD.tlog\". InitializeBuildStatus: Creating "x64\Release\ALL_BUILD\ALL_BUILD.tlog\unsuccessfulbuild" because "AlwaysCreate" was specified. CustomBuild: Building Custom Rule C:/Jenkins/workspace/dgl_PR-4499/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-4499\build\ALL_BUILD.vcxproj" (default targets). 2>Done Building Project "C:\Jenkins\workspace\dgl_PR-4499\build\ALL_BUILD.vcxproj.metaproj" (default targets). 1>Done Building Project "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.sln" (default targets). Build succeeded. "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj.metaproj" (default target) (4) -> "C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj" (default target) (16) -> (ClCompile target) -> C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io\filesys.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io\recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io\line_split.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io\indexed_recordio_split.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io\input_split_base.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\include\dmlc/filesystem.h(19,1): warning C4005: 'NOMINMAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4499\third_party\dmlc-core\src\io\local_filesys.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\third_party\dmlc-core\dmlc.vcxproj] "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4499\build\tensoradapter_pytorch.vcxproj.metaproj" (default target) (10) -> "C:\Jenkins\workspace\dgl_PR-4499\build\tensoradapter_pytorch.vcxproj" (default target) (12) -> (CustomBuild target) -> CUSTOMBUILD : CMake warning : [C:\Jenkins\workspace\dgl_PR-4499\build\tensoradapter_pytorch.vcxproj] "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj" (default target) (17) -> (ClCompile target) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_nonzero.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_cumsum.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_index_select.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_scatter.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\coo_coalesce.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_pack.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_sort.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_repeat.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\coo_linegraph.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\gather_mm.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\disjoint_union.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\coo_sort.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_union.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_sort.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\array_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\rowwise_topk.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\segment_reduce.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\negative_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\filter.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\array_arith.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\rowwise_sampling.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_get_data.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\coo_remove.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_remove.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\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-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_mm.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\array.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\csr_sum.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\spmat_op_impl_csr.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\spmat_op_impl_coo.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\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-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\spmm.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\cpu\sddmm.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\c_api_common.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\uvm_array.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\geometry\cpu\geometry_op_impl.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\partition\ndarray_partition.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\geometry\geometry.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\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-4499\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-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\random\cpu\choice.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\libra_partition.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\random\random.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\array\kernel.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\runtime\utils.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\creators.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\gk_ops.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\graph_traversal.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\get_node_types_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\metis_partition.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\graph.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\nodeflow.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\negative\global_uniform.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\graph_apis.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\immutable_graph.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 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-4499\src\graph\heterograph.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampler.cc(1526,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\neighbor\neighbor.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampler.cc(1751,1): warning C4805: '==': unsafe mix of type 'int64_t' and type 'bool' in operation [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\pickle.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\node2vec.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 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-4499\src\graph\graph_op.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\sampling\randomwalks\node2vec_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\network.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\randomwalk_with_restart_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\heterograph_capi.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\randomwalk_cpu.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampling\randomwalks\randomwalks.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\serialize\tensor_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\src\graph\sampler.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\third_party\METIS\include\metis.h(75,1): warning C4005: 'INT32_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\third_party\METIS\include\metis.h(76,1): warning C4005: 'INT32_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\third_party\METIS\include\metis.h(77,1): warning C4005: 'INT64_MIN': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\third_party\METIS\include\metis.h(78,1): warning C4005: 'INT64_MAX': macro redefinition (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\serialize\graph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\serialize\dglgraph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\subgraph.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\serialize\heterograph_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\shared_mem_manager.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\line_graph.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\metis_partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\remove_edges.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\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-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\to_simple.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\compact.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\scheduler\scheduler_apis.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] 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-4499\src\graph\transform\partition_hetero.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\graph\transform\to_bipartite.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data (compiling source file C:\Jenkins\workspace\dgl_PR-4499\src\rpc\network\socket_communicator.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj" (default target) (17) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj" (default target) (17) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj" (default target) (17) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj" (default target) (17) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj" (default target) (17) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj.metaproj" (default target) (3) -> "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj" (default target) (17) -> C:\Program Files (x86)\Microsoft Visual Studio\2019\BuildTools\VC\Tools\MSVC\14.25.28610\include\xutility(3606,22): warning C4244: '=': conversion from 'const __int64' to 'int32_t', possible loss of data [C:\Jenkins\workspace\dgl_PR-4499\build\dgl.vcxproj] "C:\Jenkins\workspace\dgl_PR-4499\build\dgl.sln" (default target) (1) -> "C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj.metaproj" (default target) (9) -> "C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\graph_index_test.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\test_spmat_coo.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\test_partition.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_unit_graph.cc(137,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_unit_graph.cc(139,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_unit_graph.cc(142,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj] C:\Jenkins\workspace\dgl_PR-4499\tests\cpp\test_unit_graph.cc(144,1): warning C4305: 'argument': truncation from 'int' to 'bool' [C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\test_spmat_csr.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\test_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\test_zerocopy_serialize.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\test_unit_graph.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\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-4499\tests\cpp\test_aten.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\test_sampler.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\test_csrmm.cc) [C:\Jenkins\workspace\dgl_PR-4499\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-4499\tests\cpp\test_rowwise.cc) [C:\Jenkins\workspace\dgl_PR-4499\build\runUnitTests.vcxproj] 148 Warning(s) 0 Error(s) Time Elapsed 00:00:55.09 1 file(s) copied. Could Not Find C:\Jenkins\workspace\dgl_PR-4499\python\build nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/broadcast_prod_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/build/nccl/obj/collectives/device/broadcast_prod_f32.o Obtaining file:///C:/Jenkins/workspace/dgl_PR-4499/python Preparing metadata (setup.py): started nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Preparing metadata (setup.py): finished with status 'done' Requirement already satisfied: numpy>=1.14.0 in c:\program files\python36\lib\site-packages (from dgl==0.9) (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) Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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). 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: 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) 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) Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/broadcast_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). Installing collected packages: psutil, dgl nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/broadcast_min_u8.o Running setup.py develop for dgl nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/broadcast_min_i32.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Successfully installed dgl psutil-5.9.1 Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/broadcast_min_i64.o [Pipeline] echo Packing build\dgl.dll, build\runUnitTests.exe, build\tensoradapter\pytorch\*.dll into dgl-cpu-win64 [Pipeline] stash nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/broadcast_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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Stashed 3 file(s) Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/broadcast_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/broadcast_min_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/broadcast_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/broadcast_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/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-4499@3/build/nccl/obj/collectives/device/broadcast_max_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/broadcast_max_f16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/broadcast_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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/broadcast_max_bf16.o [WS-CLEANUP] done [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/broadcast_premulsum_i8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/broadcast_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 broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/broadcast_premulsum_bf16.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/build/nccl/obj/collectives/device/broadcast_sumpostdiv_u8.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/broadcast_sumpostdiv_i64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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). Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/broadcast_sumpostdiv_f64.o Compiling broadcast.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/broadcast_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 reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/reduce_sum_i8.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/build/nccl/obj/collectives/device/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 reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/reduce_sum_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/reduce_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.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/reduce_sum_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/reduce_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.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/reduce_prod_u32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/reduce_prod_u64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/build/nccl/obj/collectives/device/reduce_prod_f32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/reduce_min_i64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/build/nccl/obj/collectives/device/reduce_min_f16.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/build/nccl/obj/collectives/device/reduce_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 reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/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-4499@3/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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/reduce_max_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/build/nccl/obj/collectives/device/reduce_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.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/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 reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/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 reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/reduce_premulsum_f64.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/reduce_sumpostdiv_i32.o Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/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). Compiling reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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). [ 92%] Linking CXX shared library libdgl.so [ 92%] Built target dgl Scanning dependencies of target rpc_client Scanning dependencies of target rpc_server [ 92%] Building CXX object CMakeFiles/rpc_client.dir/tests/dist/cpp/rpc_client.cc.o Scanning dependencies of target runUnitTests [ 92%] Building CXX object CMakeFiles/rpc_server.dir/tests/dist/cpp/rpc_server.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/test_csrmm.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_aten.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_csr.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/socket_communicator_test.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_rowwise.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_smart_ptr_serialize.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_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/string_test.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_partition.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/message_queue_test.cc.o /root/jenkins/workspace/dgl_PR-4499/tests/dist/cpp/rpc_client.cc: In member function 'void RPCClient::StartClient()': /root/jenkins/workspace/dgl_PR-4499/tests/dist/cpp/rpc_client.cc:50:15: warning: unused variable 'num_machines' [-Wunused-variable] const int num_machines = ips_.size(); ^~~~~~~~~~~~ [ 98%] Linking CXX executable rpc_client [ 98%] Linking CXX executable rpc_server [ 98%] Built target rpc_client [ 98%] Built target rpc_server Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/reduce_scatter_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 reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/reduce_scatter_sum_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/reduce_scatter_prod_i8.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/reduce_scatter_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_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/reduce_scatter_prod_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/reduce_scatter_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 reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/reduce_scatter_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_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/reduce_scatter_min_i32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/reduce_scatter_min_u64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/reduce_scatter_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 reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/reduce_scatter_min_f32.o [100%] Linking CXX executable runUnitTests [100%] Built target runUnitTests ~/jenkins/workspace/dgl_PR-4499 ~/jenkins/workspace/dgl_PR-4499/python ~/jenkins/workspace/dgl_PR-4499 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 nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/reduce_scatter_min_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/reduce_scatter_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). nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/reduce_scatter_max_i8.o [1/1] Cythonizing dgl/_ffi/_cython/core.pyx Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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). running install Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). running bdist_egg running egg_info creating dgl.egg-info Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/reduce_scatter_max_u64.o writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/reduce_scatter_max_f16.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/reduce_scatter_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). reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-3.7 creating build/lib.linux-x86_64-3.7/dgl copying dgl/partition.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/core.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/base.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/sparse.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/network.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/logging.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/udf.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/init.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/view.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/generators.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/convert.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/container.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/merge.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/readout.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/batch.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/frame.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/random.py -> build/lib.linux-x86_64-3.7/dgl creating build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-3.7/dgl/geometry creating build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-3.7/dgl/function creating build/lib.linux-x86_64-3.7/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn creating build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/dis_kvstore.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/unified_tensor.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/graph_store.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib creating build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-3.7/dgl/utils creating build/lib.linux-x86_64-3.7/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-3.7/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-3.7/dgl/multiprocessing creating build/lib.linux-x86_64-3.7/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim creating build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-3.7/dgl/dataloading creating build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/neighbor.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/shadow.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/async_transferer.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading creating build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-3.7/dgl/backend creating build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-3.7/dgl/ops creating build/lib.linux-x86_64-3.7/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-3.7/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-3.7/dgl/cuda creating build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-3.7/dgl/storages creating build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-3.7/dgl/sampling creating build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-3.7/dgl/data creating build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-3.7/dgl/distributed creating build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/nodeflow.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/udf.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/view.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/kernel.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/graph.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/frame.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate creating build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-3.7/dgl/transforms creating build/lib.linux-x86_64-3.7/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn creating build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-3.7/dgl/_ffi creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch creating build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet creating build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow creating build/lib.linux-x86_64-3.7/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/functional creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/sampler.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/dis_sampler.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling creating build/lib.linux-x86_64-3.7/dgl/contrib/data copying dgl/contrib/data/knowledge_graph.py -> build/lib.linux-x86_64-3.7/dgl/contrib/data copying dgl/contrib/data/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib/data creating build/lib.linux-x86_64-3.7/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/optim/pytorch creating build/lib.linux-x86_64-3.7/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/mxnet creating build/lib.linux-x86_64-3.7/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/tensorflow creating build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch creating build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch creating build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet creating build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow creating build/lib.linux-x86_64-3.7/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn creating build/lib.linux-x86_64-3.7/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/spmv.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/degree_bucketing.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/scheduler.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/adapter.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/runtime.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime creating build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/program.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/executor.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/var.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/registry.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir creating build/lib.linux-x86_64-3.7/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/partition creating build/lib.linux-x86_64-3.7/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/tools creating build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-3.7 creating build/temp.linux-x86_64-3.7/dgl creating build/temp.linux-x86_64-3.7/dgl/_ffi creating build/temp.linux-x86_64-3.7/dgl/_ffi/_cython gcc -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/pytorch-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/reduce_scatter_max_f64.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/reduce_scatter_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_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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). Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/reduce_scatter_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 reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f32.o g++ -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/pytorch-ci/compiler_compat -L/opt/conda/envs/pytorch-ci/lib -Wl,-rpath=/opt/conda/envs/pytorch-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/__init__.py -> build/bdist.linux-x86_64/egg/dgl/geometry creating build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/partition.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.7/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.7/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/dis_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/unified_tensor.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/graph_store.py -> build/bdist.linux-x86_64/egg/dgl/contrib creating build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/dis_sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling creating build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/shared_mem.py -> build/bdist.linux-x86_64/egg/dgl/utils creating build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/base.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/sparse.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/async_transferer.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.7/dgl/backend/backend.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch creating build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.7/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/graph_index.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/partition.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/nodeflow.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/udf.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/view.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/kernel.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/spmv.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/degree_bucketing.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/scheduler.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/adapter.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/runtime.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/program.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/executor.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/var.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/registry.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/graph.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/frame.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/module.py -> build/bdist.linux-x86_64/egg/dgl/transforms creating build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.7/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.7/dgl/distgnn/partition/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition creating build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/base.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.7/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/dis_kvstore.py to dis_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/unified_tensor.py to unified_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/graph_store.py to graph_store.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/sampler.py to sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/dis_sampler.py to dis_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/async_transferer.py to async_transferer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-37.pyc Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/reduce_scatter_premulsum_f64.o byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/nodeflow.py to nodeflow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/kernel.py to kernel.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/spmv.py to spmv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/degree_bucketing.py to degree_bucketing.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/scheduler.py to scheduler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/runtime.py to runtime.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/program.py to program.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/executor.py to executor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/var.py to var.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/registry.py to registry.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/graph.py to graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-37.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-37.pyc installing package data to build/bdist.linux-x86_64/egg running install_data copying ../build/libdgl.so -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/tensoradapter creating build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch copying ../build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so -> build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch creating build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt creating dist creating 'dist/dgl-0.9-py3.7-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it nvcc warning : The 'compute_35', 'compute_37', 'sm_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-4499@3/build/nccl/obj/collectives/device/reduce_scatter_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_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_i8.o removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dgl-0.9-py3.7-linux-x86_64.egg creating /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dgl-0.9-py3.7-linux-x86_64.egg Extracting dgl-0.9-py3.7-linux-x86_64.egg to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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). Adding dgl 0.9 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dgl-0.9-py3.7-linux-x86_64.egg Processing dependencies for dgl==0.9 Searching for psutil>=5.8.0 Reading https://pypi.org/simple/psutil/ Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/reduce_scatter_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_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/build/nccl/obj/collectives/device/reduce_scatter_sumpostdiv_f32.o Compiling reduce_scatter.cu > /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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). Compiling functions.cu > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/obj/collectives/device/functions.o nvcc warning : The 'compute_35', 'compute_37', 'sm_35', and 'sm_37' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning). Compiling onerank_reduce.cu > /root/jenkins/workspace/dgl_PR-4499@3/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). Downloading https://files.pythonhosted.org/packages/13/71/c25adbd9b33a2e27edbe1fc84b3111a5ad97611885d7abcbdd8d1f2bb7ca/psutil-5.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=3054e923204b8e9c23a55b23b6df73a8089ae1d075cb0bf711d3e9da1724ded4 Best match: psutil 5.9.1 Processing psutil-5.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding psutil 5.9.1 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/psutil-5.9.1-py3.7-linux-x86_64.egg Searching for tqdm==4.64.0 Best match: tqdm 4.64.0 Adding tqdm 4.64.0 to easy-install.pth file Installing tqdm script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for requests==2.28.1 Best match: requests 2.28.1 Adding requests 2.28.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for networkx==2.6.3 Best match: networkx 2.6.3 Adding networkx 2.6.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for scipy==1.7.3 Best match: scipy 1.7.3 Adding scipy 1.7.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for numpy==1.21.6 Best match: numpy 1.21.6 Adding numpy 1.21.6 to easy-install.pth file Installing f2py script to /opt/conda/envs/pytorch-ci/bin Installing f2py3 script to /opt/conda/envs/pytorch-ci/bin Installing f2py3.7 script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for certifi==2022.6.15 Best match: certifi 2022.6.15 Adding certifi 2022.6.15 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for urllib3==1.26.11 Best match: urllib3 1.26.11 Adding urllib3 1.26.11 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for idna==3.3 Best match: idna 3.3 Adding idna 3.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for charset-normalizer==2.1.0 Best match: charset-normalizer 2.1.0 Adding charset-normalizer 2.1.0 to easy-install.pth file Installing normalizer script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Finished processing dependencies for dgl==0.9 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4499/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. setuptools.SetuptoolsDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/command/easy_install.py:147: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools. EasyInstallDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running build_ext building 'dgl._ffi._cy3.core' extension gcc -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/pytorch-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/pytorch-ci/compiler_compat -L/opt/conda/envs/pytorch-ci/lib -Wl,-rpath=/opt/conda/envs/pytorch-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4499/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running install running bdist_egg running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-3.7 creating build/lib.linux-x86_64-3.7/dgl copying dgl/partition.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/core.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/base.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/sparse.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/network.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/logging.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/udf.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/init.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/view.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/generators.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/convert.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/container.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/merge.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/readout.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/batch.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/frame.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/random.py -> build/lib.linux-x86_64-3.7/dgl creating build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-3.7/dgl/geometry creating build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-3.7/dgl/function creating build/lib.linux-x86_64-3.7/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn creating build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/dis_kvstore.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/unified_tensor.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/graph_store.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib creating build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-3.7/dgl/utils creating build/lib.linux-x86_64-3.7/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-3.7/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-3.7/dgl/multiprocessing creating build/lib.linux-x86_64-3.7/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim creating build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-3.7/dgl/dataloading creating build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/neighbor.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/shadow.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/async_transferer.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading creating build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-3.7/dgl/backend creating build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-3.7/dgl/ops creating build/lib.linux-x86_64-3.7/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-3.7/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-3.7/dgl/cuda creating build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-3.7/dgl/storages creating build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-3.7/dgl/sampling creating build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-3.7/dgl/data creating build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-3.7/dgl/distributed creating build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/nodeflow.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/udf.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/view.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/kernel.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/graph.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/frame.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate creating build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-3.7/dgl/transforms creating build/lib.linux-x86_64-3.7/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn creating build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-3.7/dgl/_ffi creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch creating build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet creating build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow creating build/lib.linux-x86_64-3.7/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/functional creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/sampler.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/dis_sampler.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling creating build/lib.linux-x86_64-3.7/dgl/contrib/data copying dgl/contrib/data/knowledge_graph.py -> build/lib.linux-x86_64-3.7/dgl/contrib/data copying dgl/contrib/data/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib/data creating build/lib.linux-x86_64-3.7/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/optim/pytorch creating build/lib.linux-x86_64-3.7/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/mxnet creating build/lib.linux-x86_64-3.7/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/tensorflow creating build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch creating build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch creating build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet creating build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow creating build/lib.linux-x86_64-3.7/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn creating build/lib.linux-x86_64-3.7/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/spmv.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/degree_bucketing.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/scheduler.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/adapter.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/runtime.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime creating build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/program.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/executor.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/var.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/registry.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir creating build/lib.linux-x86_64-3.7/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/partition creating build/lib.linux-x86_64-3.7/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/tools creating build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-3.7 creating build/temp.linux-x86_64-3.7/dgl creating build/temp.linux-x86_64-3.7/dgl/_ffi creating build/temp.linux-x86_64-3.7/dgl/_ffi/_cython gcc -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/mxnet-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/mxnet-ci/compiler_compat -L/opt/conda/envs/mxnet-ci/lib -Wl,-rpath=/opt/conda/envs/mxnet-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/__init__.py -> build/bdist.linux-x86_64/egg/dgl/geometry creating build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/partition.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.7/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.7/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/dis_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/unified_tensor.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/graph_store.py -> build/bdist.linux-x86_64/egg/dgl/contrib creating build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/dis_sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling creating build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/shared_mem.py -> build/bdist.linux-x86_64/egg/dgl/utils creating build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/base.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/sparse.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/async_transferer.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.7/dgl/backend/backend.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch creating build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.7/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/graph_index.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/partition.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/nodeflow.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/udf.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/view.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/kernel.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/spmv.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/degree_bucketing.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/scheduler.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/adapter.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/runtime.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/program.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/executor.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/var.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/registry.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/graph.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/frame.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/module.py -> build/bdist.linux-x86_64/egg/dgl/transforms creating build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.7/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.7/dgl/distgnn/partition/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition creating build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/base.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.7/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/dis_kvstore.py to dis_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/unified_tensor.py to unified_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/graph_store.py to graph_store.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/sampler.py to sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/dis_sampler.py to dis_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/async_transferer.py to async_transferer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/nodeflow.py to nodeflow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/kernel.py to kernel.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/spmv.py to spmv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/degree_bucketing.py to degree_bucketing.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/scheduler.py to scheduler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/runtime.py to runtime.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/program.py to program.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/executor.py to executor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/var.py to var.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/registry.py to registry.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/graph.py to graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-37.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-37.pyc installing package data to build/bdist.linux-x86_64/egg running install_data copying ../build/libdgl.so -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/tensoradapter creating build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch copying ../build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so -> build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch creating build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt creating dist creating 'dist/dgl-0.9-py3.7-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dgl-0.9-py3.7-linux-x86_64.egg creating /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/dgl-0.9-py3.7-linux-x86_64.egg Extracting dgl-0.9-py3.7-linux-x86_64.egg to /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Adding dgl 0.9 to easy-install.pth file Installed /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/dgl-0.9-py3.7-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/13/71/c25adbd9b33a2e27edbe1fc84b3111a5ad97611885d7abcbdd8d1f2bb7ca/psutil-5.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=3054e923204b8e9c23a55b23b6df73a8089ae1d075cb0bf711d3e9da1724ded4 Best match: psutil 5.9.1 Processing psutil-5.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Adding psutil 5.9.1 to easy-install.pth file Installed /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/psutil-5.9.1-py3.7-linux-x86_64.egg Searching for tqdm==4.64.0 Best match: tqdm 4.64.0 Adding tqdm 4.64.0 to easy-install.pth file Installing tqdm script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for requests==2.28.1 Best match: requests 2.28.1 Adding requests 2.28.1 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for networkx==2.6.3 Best match: networkx 2.6.3 Adding networkx 2.6.3 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for scipy==1.7.3 Best match: scipy 1.7.3 Adding scipy 1.7.3 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for numpy==1.21.6 Best match: numpy 1.21.6 Adding numpy 1.21.6 to easy-install.pth file Installing f2py script to /opt/conda/envs/mxnet-ci/bin Installing f2py3 script to /opt/conda/envs/mxnet-ci/bin Installing f2py3.7 script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for certifi==2022.6.15 Best match: certifi 2022.6.15 Adding certifi 2022.6.15 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for urllib3==1.26.11 Best match: urllib3 1.26.11 Adding urllib3 1.26.11 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for idna==3.3 Best match: idna 3.3 Adding idna 3.3 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for charset-normalizer==2.1.0 Best match: charset-normalizer 2.1.0 Adding charset-normalizer 2.1.0 to easy-install.pth file Installing normalizer script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Finished processing dependencies for dgl==0.9 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4499/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. setuptools.SetuptoolsDeprecationWarning, /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/setuptools/command/easy_install.py:147: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools. EasyInstallDeprecationWarning, /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running build_ext building 'dgl._ffi._cy3.core' extension gcc -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/mxnet-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/mxnet-ci/compiler_compat -L/opt/conda/envs/mxnet-ci/lib -Wl,-rpath=/opt/conda/envs/mxnet-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4499/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running install running bdist_egg running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-3.7 creating build/lib.linux-x86_64-3.7/dgl copying dgl/partition.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/core.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/base.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/sparse.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/network.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/logging.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/udf.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/init.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/view.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/generators.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/convert.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/container.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/merge.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/readout.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/batch.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/frame.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/random.py -> build/lib.linux-x86_64-3.7/dgl creating build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-3.7/dgl/geometry creating build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-3.7/dgl/function creating build/lib.linux-x86_64-3.7/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn creating build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/dis_kvstore.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/unified_tensor.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/graph_store.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib creating build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-3.7/dgl/utils creating build/lib.linux-x86_64-3.7/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-3.7/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-3.7/dgl/multiprocessing creating build/lib.linux-x86_64-3.7/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim creating build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-3.7/dgl/dataloading creating build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/neighbor.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/shadow.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/async_transferer.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading creating build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-3.7/dgl/backend creating build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-3.7/dgl/ops creating build/lib.linux-x86_64-3.7/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-3.7/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-3.7/dgl/cuda creating build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-3.7/dgl/storages creating build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-3.7/dgl/sampling creating build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-3.7/dgl/data creating build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-3.7/dgl/distributed creating build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/nodeflow.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/udf.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/view.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/kernel.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/graph.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/frame.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate creating build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-3.7/dgl/transforms creating build/lib.linux-x86_64-3.7/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn creating build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-3.7/dgl/_ffi creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch creating build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet creating build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow creating build/lib.linux-x86_64-3.7/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/functional creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/sampler.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/dis_sampler.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling creating build/lib.linux-x86_64-3.7/dgl/contrib/data copying dgl/contrib/data/knowledge_graph.py -> build/lib.linux-x86_64-3.7/dgl/contrib/data copying dgl/contrib/data/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib/data creating build/lib.linux-x86_64-3.7/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/optim/pytorch creating build/lib.linux-x86_64-3.7/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/mxnet creating build/lib.linux-x86_64-3.7/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/tensorflow creating build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch creating build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch creating build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet creating build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow creating build/lib.linux-x86_64-3.7/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn creating build/lib.linux-x86_64-3.7/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/spmv.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/degree_bucketing.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/scheduler.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/adapter.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/runtime.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime creating build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/program.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/executor.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/var.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/registry.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir creating build/lib.linux-x86_64-3.7/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/partition creating build/lib.linux-x86_64-3.7/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/tools creating build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-3.7 creating build/temp.linux-x86_64-3.7/dgl creating build/temp.linux-x86_64-3.7/dgl/_ffi creating build/temp.linux-x86_64-3.7/dgl/_ffi/_cython gcc -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/tensorflow-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/tensorflow-ci/compiler_compat -L/opt/conda/envs/tensorflow-ci/lib -Wl,-rpath=/opt/conda/envs/tensorflow-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/__init__.py -> build/bdist.linux-x86_64/egg/dgl/geometry creating build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/partition.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.7/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.7/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/dis_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/unified_tensor.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/graph_store.py -> build/bdist.linux-x86_64/egg/dgl/contrib creating build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/dis_sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling creating build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/shared_mem.py -> build/bdist.linux-x86_64/egg/dgl/utils creating build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/base.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/sparse.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/async_transferer.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.7/dgl/backend/backend.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch creating build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.7/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/graph_index.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/partition.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/nodeflow.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/udf.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/view.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/kernel.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/spmv.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/degree_bucketing.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/scheduler.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/adapter.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/runtime.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/program.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/executor.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/var.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/registry.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/graph.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/frame.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/module.py -> build/bdist.linux-x86_64/egg/dgl/transforms creating build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.7/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.7/dgl/distgnn/partition/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition creating build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/base.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.7/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/dis_kvstore.py to dis_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/unified_tensor.py to unified_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/graph_store.py to graph_store.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/sampler.py to sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/dis_sampler.py to dis_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/async_transferer.py to async_transferer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/nodeflow.py to nodeflow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/kernel.py to kernel.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/spmv.py to spmv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/degree_bucketing.py to degree_bucketing.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/scheduler.py to scheduler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/runtime.py to runtime.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/program.py to program.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/executor.py to executor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/var.py to var.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/registry.py to registry.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/graph.py to graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-37.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-37.pyc installing package data to build/bdist.linux-x86_64/egg running install_data copying ../build/libdgl.so -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/tensoradapter creating build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch copying ../build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so -> build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch creating build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt creating dist creating 'dist/dgl-0.9-py3.7-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dgl-0.9-py3.7-linux-x86_64.egg creating /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/dgl-0.9-py3.7-linux-x86_64.egg Extracting dgl-0.9-py3.7-linux-x86_64.egg to /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Adding dgl 0.9 to easy-install.pth file Installed /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/dgl-0.9-py3.7-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/13/71/c25adbd9b33a2e27edbe1fc84b3111a5ad97611885d7abcbdd8d1f2bb7ca/psutil-5.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=3054e923204b8e9c23a55b23b6df73a8089ae1d075cb0bf711d3e9da1724ded4 Best match: psutil 5.9.1 Processing psutil-5.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Adding psutil 5.9.1 to easy-install.pth file Installed /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/psutil-5.9.1-py3.7-linux-x86_64.egg Searching for tqdm==4.64.0 Best match: tqdm 4.64.0 Adding tqdm 4.64.0 to easy-install.pth file Installing tqdm script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for requests==2.28.1 Best match: requests 2.28.1 Adding requests 2.28.1 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for networkx==2.6.3 Best match: networkx 2.6.3 Adding networkx 2.6.3 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for scipy==1.4.1 Best match: scipy 1.4.1 Adding scipy 1.4.1 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for numpy==1.18.5 Best match: numpy 1.18.5 Adding numpy 1.18.5 to easy-install.pth file Installing f2py script to /opt/conda/envs/tensorflow-ci/bin Installing f2py3 script to /opt/conda/envs/tensorflow-ci/bin Installing f2py3.7 script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for certifi==2022.6.15 Best match: certifi 2022.6.15 Adding certifi 2022.6.15 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for urllib3==1.26.11 Best match: urllib3 1.26.11 Adding urllib3 1.26.11 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for idna==3.3 Best match: idna 3.3 Adding idna 3.3 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for charset-normalizer==2.1.0 Best match: charset-normalizer 2.1.0 Adding charset-normalizer 2.1.0 to easy-install.pth file Installing normalizer script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Finished processing dependencies for dgl==0.9 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4499/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. setuptools.SetuptoolsDeprecationWarning, /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/command/easy_install.py:147: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools. EasyInstallDeprecationWarning, /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running build_ext building 'dgl._ffi._cy3.core' extension gcc -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/tensorflow-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/tensorflow-ci/compiler_compat -L/opt/conda/envs/tensorflow-ci/lib -Wl,-rpath=/opt/conda/envs/tensorflow-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4499/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) ~/jenkins/workspace/dgl_PR-4499 [Pipeline] sh + ls -lh /usr/lib/x86_64-linux-gnu/ total 654M -rw-r--r-- 1 root root 496 May 3 10:19 Mcrt1.o -rw-r--r-- 1 root root 1.8K May 3 10:19 Scrt1.o drwxr-xr-x 2 root root 4.0K Aug 1 13:21 audit drwxr-xr-x 2 root root 4.0K Aug 16 08:41 avahi drwxr-xr-x 2 root root 4.0K Aug 1 13:21 coreutils -rw-r--r-- 1 root root 1.9K May 3 10:19 crt1.o -rw-r--r-- 1 root root 1.2K May 3 10:19 crti.o -rw-r--r-- 1 root root 648 May 3 10:19 crtn.o drwxr-xr-x 2 root root 4.0K Aug 16 08:41 dri drwxr-xr-x 2 root root 4.0K Aug 16 08:40 engines-1.1 drwxr-xr-x 2 root root 12K Aug 1 13:21 gconv -rw-r--r-- 1 root root 2.5K May 3 10:19 gcrt1.o drwxr-xr-x 2 root root 4.0K Aug 16 08:41 gdcm-2.8 drwxr-xr-x 3 root root 4.0K Aug 16 08:40 gdk-pixbuf-2.0 drwxr-xr-x 3 root root 4.0K Aug 16 08:40 gio drwxr-xr-x 2 root root 4.0K Aug 16 08:41 girepository-1.0 drwxr-xr-x 3 root root 4.0K Aug 16 08:41 glib-2.0 drwxr-xr-x 2 root root 4.0K Aug 16 08:41 graphviz -rw-r--r-- 1 root root 2.3K May 3 10:19 grcrt1.o drwxr-xr-x 3 root root 4.0K Aug 16 08:41 gtk-2.0 drwxr-xr-x 3 root root 4.0K Aug 16 08:41 gtk-3.0 drwxr-xr-x 2 root root 4.0K Aug 16 08:41 hwloc drwxr-xr-x 3 root root 4.0K Aug 16 08:41 icu drwxr-xr-x 3 root root 4.0K Aug 16 08:40 krb5 drwxr-xr-x 2 root root 4.0K Aug 16 08:40 ldscripts -rw-r--r-- 1 root root 2.0K May 3 10:19 libBrokenLocale.a lrwxrwxrwx 1 root root 42 May 3 10:19 libBrokenLocale.so -> /lib/x86_64-linux-gnu/libBrokenLocale.so.1 lrwxrwxrwx 1 root root 16 May 23 2016 libCharLS.so.1 -> libCharLS.so.1.0 -rw-r--r-- 1 root root 219K May 23 2016 libCharLS.so.1.0 lrwxrwxrwx 1 root root 14 May 10 2019 libGL.so.1 -> libGL.so.1.0.0 -rw-r--r-- 1 root root 555K May 10 2019 libGL.so.1.0.0 lrwxrwxrwx 1 root root 15 May 10 2019 libGLX.so.0 -> libGLX.so.0.0.0 -rw-r--r-- 1 root root 67K May 10 2019 libGLX.so.0.0.0 lrwxrwxrwx 1 root root 16 Jun 12 2020 libGLX_indirect.so.0 -> libGLX_mesa.so.0 lrwxrwxrwx 1 root root 20 Jun 12 2020 libGLX_mesa.so.0 -> libGLX_mesa.so.0.0.0 -rw-r--r-- 1 root root 477K Jun 12 2020 libGLX_mesa.so.0.0.0 lrwxrwxrwx 1 root root 22 May 10 2019 libGLdispatch.so.0 -> libGLdispatch.so.0.0.0 -rw-r--r-- 1 root root 599K May 10 2019 libGLdispatch.so.0.0.0 lrwxrwxrwx 1 root root 17 Apr 16 2016 libHalf.so -> libHalf.so.12.0.0 lrwxrwxrwx 1 root root 17 Apr 16 2016 libHalf.so.12 -> libHalf.so.12.0.0 -rw-r--r-- 1 root root 267K Apr 16 2016 libHalf.so.12.0.0 lrwxrwxrwx 1 root root 15 Feb 28 2017 libICE.so.6 -> libICE.so.6.3.0 -rw-r--r-- 1 root root 96K Feb 28 2017 libICE.so.6.3.0 lrwxrwxrwx 1 root root 20 Apr 16 2016 libIex-2_2.so.12 -> libIex-2_2.so.12.0.0 -rw-r--r-- 1 root root 119K Apr 16 2016 libIex-2_2.so.12.0.0 lrwxrwxrwx 1 root root 20 Apr 16 2016 libIex.so -> libIex-2_2.so.12.0.0 lrwxrwxrwx 1 root root 24 Apr 16 2016 libIexMath-2_2.so.12 -> libIexMath-2_2.so.12.0.0 -rw-r--r-- 1 root root 15K Apr 16 2016 libIexMath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 24 Apr 16 2016 libIexMath.so -> libIexMath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 23 Nov 16 2021 libIlmImf-2_2.so.22 -> libIlmImf-2_2.so.22.0.0 -rw-r--r-- 1 root root 2.8M Nov 16 2021 libIlmImf-2_2.so.22.0.0 -rw-r--r-- 1 root root 4.4M Nov 16 2021 libIlmImf.a lrwxrwxrwx 1 root root 23 Nov 16 2021 libIlmImf.so -> libIlmImf-2_2.so.22.0.0 lrwxrwxrwx 1 root root 27 Nov 16 2021 libIlmImfUtil-2_2.so.22 -> libIlmImfUtil-2_2.so.22.0.0 -rw-r--r-- 1 root root 140K Nov 16 2021 libIlmImfUtil-2_2.so.22.0.0 -rw-r--r-- 1 root root 319K Nov 16 2021 libIlmImfUtil.a lrwxrwxrwx 1 root root 27 Nov 16 2021 libIlmImfUtil.so -> libIlmImfUtil-2_2.so.22.0.0 lrwxrwxrwx 1 root root 26 Apr 16 2016 libIlmThread-2_2.so.12 -> libIlmThread-2_2.so.12.0.0 -rw-r--r-- 1 root root 27K Apr 16 2016 libIlmThread-2_2.so.12.0.0 lrwxrwxrwx 1 root root 26 Apr 16 2016 libIlmThread.so -> libIlmThread-2_2.so.12.0.0 lrwxrwxrwx 1 root root 22 Apr 16 2016 libImath-2_2.so.12 -> libImath-2_2.so.12.0.0 -rw-r--r-- 1 root root 71K Apr 16 2016 libImath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 22 Apr 16 2016 libImath.so -> libImath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 15 Jul 14 2020 libLLVM-10.so -> libLLVM-10.so.1 -rw-r--r-- 1 root root 71M Jul 14 2020 libLLVM-10.so.1 lrwxrwxrwx 1 root root 18 Apr 5 2017 libOpenCL.so.1 -> libOpenCL.so.1.0.0 -rw-r--r-- 1 root root 43K Apr 5 2017 libOpenCL.so.1.0.0 lrwxrwxrwx 1 root root 14 Jul 13 2014 libSM.so.6 -> libSM.so.6.0.1 -rw-r--r-- 1 root root 31K Jul 13 2014 libSM.so.6.0.1 lrwxrwxrwx 1 root root 19 May 19 2021 libX11-xcb.so.1 -> libX11-xcb.so.1.0.0 -rw-r--r-- 1 root root 5.7K May 19 2021 libX11-xcb.so.1.0.0 lrwxrwxrwx 1 root root 15 May 19 2021 libX11.so.6 -> libX11.so.6.3.0 -rw-r--r-- 1 root root 1.3M May 19 2021 libX11.so.6.3.0 lrwxrwxrwx 1 root root 15 Apr 21 2020 libXau.so.6 -> libXau.so.6.0.0 -rw-r--r-- 1 root root 15K Apr 21 2020 libXau.so.6.0.0 lrwxrwxrwx 1 root root 12 Aug 3 2015 libXaw.so.7 -> libXaw7.so.7 lrwxrwxrwx 1 root root 16 Aug 3 2015 libXaw7.so.7 -> libXaw7.so.7.0.0 -rw-r--r-- 1 root root 461K Aug 3 2015 libXaw7.so.7.0.0 lrwxrwxrwx 1 root root 22 Jan 20 2017 libXcomposite.so.1 -> libXcomposite.so.1.0.0 -rw-r--r-- 1 root root 11K Jan 20 2017 libXcomposite.so.1.0.0 lrwxrwxrwx 1 root root 19 Dec 19 2017 libXcursor.so.1 -> libXcursor.so.1.0.2 -rw-r--r-- 1 root root 39K Dec 19 2017 libXcursor.so.1.0.2 lrwxrwxrwx 1 root root 19 Aug 20 2017 libXdamage.so.1 -> libXdamage.so.1.1.0 -rw-r--r-- 1 root root 11K Aug 20 2017 libXdamage.so.1.1.0 lrwxrwxrwx 1 root root 17 Mar 2 2017 libXdmcp.so.6 -> libXdmcp.so.6.0.0 -rw-r--r-- 1 root root 23K Mar 2 2017 libXdmcp.so.6.0.0 lrwxrwxrwx 1 root root 16 Oct 25 2014 libXext.so.6 -> libXext.so.6.4.0 -rw-r--r-- 1 root root 72K Oct 25 2014 libXext.so.6.4.0 lrwxrwxrwx 1 root root 18 Dec 5 2016 libXfixes.so.3 -> libXfixes.so.3.1.0 -rw-r--r-- 1 root root 23K Dec 5 2016 libXfixes.so.3.1.0 lrwxrwxrwx 1 root root 15 Jul 13 2014 libXft.so.2 -> libXft.so.2.3.2 -rw-r--r-- 1 root root 84K Jul 13 2014 libXft.so.2.3.2 lrwxrwxrwx 1 root root 14 Jan 23 2017 libXi.so.6 -> libXi.so.6.1.0 -rw-r--r-- 1 root root 63K Jan 23 2017 libXi.so.6.1.0 lrwxrwxrwx 1 root root 20 Jun 30 2013 libXinerama.so.1 -> libXinerama.so.1.0.0 -rw-r--r-- 1 root root 11K Jun 30 2013 libXinerama.so.1.0.0 lrwxrwxrwx 1 root root 15 Dec 10 2015 libXmu.so.6 -> libXmu.so.6.2.0 -rw-r--r-- 1 root root 101K Dec 10 2015 libXmu.so.6.2.0 lrwxrwxrwx 1 root root 16 Dec 22 2016 libXpm.so.4 -> libXpm.so.4.11.0 -rw-r--r-- 1 root root 71K Dec 22 2016 libXpm.so.4.11.0 lrwxrwxrwx 1 root root 18 Dec 6 2016 libXrandr.so.2 -> libXrandr.so.2.2.0 -rw-r--r-- 1 root root 43K Dec 6 2016 libXrandr.so.2.2.0 lrwxrwxrwx 1 root root 19 Dec 5 2016 libXrender.so.1 -> libXrender.so.1.3.0 -rw-r--r-- 1 root root 39K Dec 5 2016 libXrender.so.1.3.0 lrwxrwxrwx 1 root root 15 May 9 2012 libXss.so.1 -> libXss.so.1.0.0 -rw-r--r-- 1 root root 15K May 9 2012 libXss.so.1.0.0 lrwxrwxrwx 1 root root 14 May 24 2016 libXt.so.6 -> libXt.so.6.0.0 -rw-r--r-- 1 root root 416K May 24 2016 libXt.so.6.0.0 lrwxrwxrwx 1 root root 19 May 6 2015 libXxf86vm.so.1 -> libXxf86vm.so.1.0.0 -rw-r--r-- 1 root root 23K May 6 2015 libXxf86vm.so.1.0.0 lrwxrwxrwx 1 root root 15 Jul 28 2017 libaec.so.0 -> libaec.so.0.0.3 -rw-r--r-- 1 root root 30K Jul 28 2017 libaec.so.0.0.3 -rw-r--r-- 1 root root 23K May 3 10:19 libanl.a lrwxrwxrwx 1 root root 33 May 3 10:19 libanl.so -> /lib/x86_64-linux-gnu/libanl.so.1 lrwxrwxrwx 1 root root 20 Jun 15 2021 libapt-inst.so.2.0 -> libapt-inst.so.2.0.0 -rw-r--r-- 1 root root 51K Jun 15 2021 libapt-inst.so.2.0.0 lrwxrwxrwx 1 root root 19 Jun 15 2021 libapt-pkg.so.5.0 -> libapt-pkg.so.5.0.2 -rw-r--r-- 1 root root 1.8M Jun 15 2021 libapt-pkg.so.5.0.2 lrwxrwxrwx 1 root root 23 Jun 15 2021 libapt-private.so.0.0 -> libapt-private.so.0.0.0 -rw-r--r-- 1 root root 415K Jun 15 2021 libapt-private.so.0.0.0 lrwxrwxrwx 1 root root 18 Jan 24 2018 libarpack.so.2 -> libarpack.so.2.0.0 -rw-r--r-- 1 root root 295K Jan 24 2018 libarpack.so.2.0.0 lrwxrwxrwx 1 root root 16 Dec 4 2019 libasan.so.4 -> libasan.so.4.0.0 -rw-r--r-- 1 root root 1.4M Dec 4 2019 libasan.so.4.0.0 lrwxrwxrwx 1 root root 16 Dec 15 2017 libasn1.so.8 -> libasn1.so.8.0.0 -rw-r--r-- 1 root root 647K Dec 15 2017 libasn1.so.8.0.0 lrwxrwxrwx 1 root root 23 Mar 13 2018 libatk-1.0.so.0 -> libatk-1.0.so.0.22810.1 -rw-r--r-- 1 root root 150K Mar 13 2018 libatk-1.0.so.0.22810.1 lrwxrwxrwx 1 root root 26 Mar 13 2018 libatk-bridge-2.0.so.0 -> libatk-bridge-2.0.so.0.0.0 -rw-r--r-- 1 root root 194K Mar 13 2018 libatk-bridge-2.0.so.0.0.0 lrwxrwxrwx 1 root root 18 Mar 10 2020 libatomic.so.1 -> libatomic.so.1.2.0 -rw-r--r-- 1 root root 27K Mar 10 2020 libatomic.so.1.2.0 lrwxrwxrwx 1 root root 17 Mar 13 2018 libatspi.so.0 -> libatspi.so.0.0.1 -rw-r--r-- 1 root root 191K Mar 13 2018 libatspi.so.0.0.1 lrwxrwxrwx 1 root root 24 Jul 6 2021 libavahi-client.so.3 -> libavahi-client.so.3.2.9 -rw-r--r-- 1 root root 67K Jul 6 2021 libavahi-client.so.3.2.9 lrwxrwxrwx 1 root root 24 Jul 6 2021 libavahi-common.so.3 -> libavahi-common.so.3.5.3 -rw-r--r-- 1 root root 47K Jul 6 2021 libavahi-common.so.3.5.3 -rw-r--r-- 1 root root 19M May 18 20:01 libavcodec.a lrwxrwxrwx 1 root root 24 May 18 20:01 libavcodec.so -> libavcodec.so.57.107.100 lrwxrwxrwx 1 root root 24 May 18 20:01 libavcodec.so.57 -> libavcodec.so.57.107.100 -rw-r--r-- 1 root root 14M May 18 20:01 libavcodec.so.57.107.100 -rw-r--r-- 1 root root 4.7M May 18 20:01 libavformat.a lrwxrwxrwx 1 root root 24 May 18 20:01 libavformat.so -> libavformat.so.57.83.100 lrwxrwxrwx 1 root root 24 May 18 20:01 libavformat.so.57 -> libavformat.so.57.83.100 -rw-r--r-- 1 root root 2.4M May 18 20:01 libavformat.so.57.83.100 -rw-r--r-- 1 root root 214K May 18 20:01 libavresample.a lrwxrwxrwx 1 root root 22 May 18 20:01 libavresample.so -> libavresample.so.3.7.0 lrwxrwxrwx 1 root root 22 May 18 20:01 libavresample.so.3 -> libavresample.so.3.7.0 -rw-r--r-- 1 root root 130K May 18 20:01 libavresample.so.3.7.0 -rw-r--r-- 1 root root 755K May 18 20:01 libavutil.a lrwxrwxrwx 1 root root 22 May 18 20:01 libavutil.so -> libavutil.so.55.78.100 lrwxrwxrwx 1 root root 22 May 18 20:01 libavutil.so.55 -> libavutil.so.55.78.100 -rw-r--r-- 1 root root 487K May 18 20:01 libavutil.so.55.78.100 -rw-r--r-- 1 root root 1.3M Oct 20 2021 libbfd-2.30-system.so lrwxrwxrwx 1 root root 44 Aug 16 08:41 libblas.a -> /etc/alternatives/libblas.a-x86_64-linux-gnu lrwxrwxrwx 1 root root 45 Aug 16 08:41 libblas.so -> /etc/alternatives/libblas.so-x86_64-linux-gnu lrwxrwxrwx 1 root root 47 Aug 16 08:41 libblas.so.3 -> /etc/alternatives/libblas.so.3-x86_64-linux-gnu lrwxrwxrwx 1 root root 18 Apr 3 2018 libbluray.so.2 -> libbluray.so.2.0.2 -rw-r--r-- 1 root root 319K Apr 3 2018 libbluray.so.2.0.2 -rw-r--r-- 1 root root 5.3M May 3 10:19 libc.a -rw-r--r-- 1 root root 298 May 3 10:19 libc.so -rw-r--r-- 1 root root 20K May 3 10:19 libc_nonshared.a lrwxrwxrwx 1 root root 29 Jan 22 2019 libcairo-gobject.so.2 -> libcairo-gobject.so.2.11510.0 -rw-r--r-- 1 root root 34K Jan 22 2019 libcairo-gobject.so.2.11510.0 lrwxrwxrwx 1 root root 21 Jan 22 2019 libcairo.so.2 -> libcairo.so.2.11510.0 -rw-r--r-- 1 root root 1.2M Jan 22 2019 libcairo.so.2.11510.0 lrwxrwxrwx 1 root root 15 Mar 10 2020 libcc1.so.0 -> libcc1.so.0.0.0 -rw-r--r-- 1 root root 116K Mar 10 2020 libcc1.so.0.0.0 lrwxrwxrwx 1 root root 15 Mar 24 2018 libcdt.so -> libcdt.so.5.0.0 lrwxrwxrwx 1 root root 15 Mar 24 2018 libcdt.so.5 -> libcdt.so.5.0.0 -rw-r--r-- 1 root root 27K Mar 24 2018 libcdt.so.5.0.0 lrwxrwxrwx 1 root root 18 Mar 24 2018 libcgraph.so -> libcgraph.so.6.0.0 lrwxrwxrwx 1 root root 18 Mar 24 2018 libcgraph.so.6 -> libcgraph.so.6.0.0 -rw-r--r-- 1 root root 88K Mar 24 2018 libcgraph.so.6.0.0 lrwxrwxrwx 1 root root 23 Feb 7 2018 libchromaprint.so.1 -> libchromaprint.so.1.4.3 -rw-r--r-- 1 root root 75K Feb 7 2018 libchromaprint.so.1.4.3 lrwxrwxrwx 1 root root 34 May 3 10:19 libcidn.so -> /lib/x86_64-linux-gnu/libcidn.so.1 lrwxrwxrwx 1 root root 19 Dec 4 2019 libcilkrts.so.5 -> libcilkrts.so.5.0.0 -rw-r--r-- 1 root root 117K Dec 4 2019 libcilkrts.so.5.0.0 lrwxrwxrwx 1 root root 18 Jul 23 2017 libcolord.so.2 -> libcolord.so.2.0.5 -rw-r--r-- 1 root root 126K Jul 23 2017 libcolord.so.2.0.5 lrwxrwxrwx 1 root root 25 Jul 23 2017 libcolordprivate.so.2 -> libcolordprivate.so.2.0.5 -rw-r--r-- 1 root root 188K Jul 23 2017 libcolordprivate.so.2.0.5 lrwxrwxrwx 1 root root 21 Dec 16 2017 libcroco-0.6.so.3 -> libcroco-0.6.so.3.0.1 -rw-r--r-- 1 root root 235K Dec 16 2017 libcroco-0.6.so.3.0.1 -rw-r--r-- 1 root root 61K May 3 10:19 libcrypt.a lrwxrwxrwx 1 root root 35 May 3 10:19 libcrypt.so -> /lib/x86_64-linux-gnu/libcrypt.so.1 -rw-r--r-- 1 root root 2.8M Jul 4 11:25 libcrypto.so.1.1 lrwxrwxrwx 1 root root 19 Mar 13 2017 libcrystalhd.so.3 -> libcrystalhd.so.3.6 -rw-r--r-- 1 root root 109K Mar 13 2017 libcrystalhd.so.3.6 -rw-r--r-- 1 root root 558K May 27 15:03 libcups.so.2 lrwxrwxrwx 1 root root 19 Jun 22 16:00 libcurl-gnutls.so.3 -> libcurl-gnutls.so.4 lrwxrwxrwx 1 root root 23 Jun 22 16:00 libcurl-gnutls.so.4 -> libcurl-gnutls.so.4.5.0 -rw-r--r-- 1 root root 515K Jun 22 16:00 libcurl-gnutls.so.4.5.0 lrwxrwxrwx 1 root root 16 Jun 22 16:00 libcurl.so.4 -> libcurl.so.4.5.0 -rw-r--r-- 1 root root 519K Jun 22 16:00 libcurl.so.4.5.0 lrwxrwxrwx 1 root root 16 Feb 20 2018 libdap.so.25 -> libdap.so.25.0.1 -rw-r--r-- 1 root root 1.6M Feb 20 2018 libdap.so.25.0.1 lrwxrwxrwx 1 root root 21 Feb 20 2018 libdapclient.so.6 -> libdapclient.so.6.1.7 -rw-r--r-- 1 root root 259K Feb 20 2018 libdapclient.so.6.1.7 lrwxrwxrwx 1 root root 18 Feb 14 2018 libdatrie.so.1 -> libdatrie.so.1.3.3 -rw-r--r-- 1 root root 26K Feb 14 2018 libdatrie.so.1.3.3 -rw-r--r-- 1 root root 1.7M Jun 3 2019 libdb-5.3.so -rw-r--r-- 1 root root 365K Jan 15 2017 libdc1394.a lrwxrwxrwx 1 root root 19 Jan 15 2017 libdc1394.so -> libdc1394.so.22.2.1 lrwxrwxrwx 1 root root 19 Jan 15 2017 libdc1394.so.22 -> libdc1394.so.22.2.1 -rw-r--r-- 1 root root 216K Jan 15 2017 libdc1394.so.22.2.1 lrwxrwxrwx 1 root root 17 Mar 29 2018 libdconf.so.1 -> libdconf.so.1.0.0 -rw-r--r-- 1 root root 56K Mar 29 2018 libdconf.so.1.0.0 lrwxrwxrwx 1 root root 25 Jun 8 2016 libdebconfclient.so.0 -> libdebconfclient.so.0.0.0 -rw-r--r-- 1 root root 11K Jun 8 2016 libdebconfclient.so.0.0.0 -rw-r--r-- 1 root root 12K May 3 10:19 libdl.a lrwxrwxrwx 1 root root 32 May 3 10:19 libdl.so -> /lib/x86_64-linux-gnu/libdl.so.2 lrwxrwxrwx 1 root root 15 May 11 2020 libdrm.so.2 -> libdrm.so.2.4.0 -rw-r--r-- 1 root root 67K May 11 2020 libdrm.so.2.4.0 lrwxrwxrwx 1 root root 22 May 11 2020 libdrm_amdgpu.so.1 -> libdrm_amdgpu.so.1.0.0 -rw-r--r-- 1 root root 39K May 11 2020 libdrm_amdgpu.so.1.0.0 lrwxrwxrwx 1 root root 21 May 11 2020 libdrm_intel.so.1 -> libdrm_intel.so.1.0.0 -rw-r--r-- 1 root root 140K May 11 2020 libdrm_intel.so.1.0.0 lrwxrwxrwx 1 root root 23 May 11 2020 libdrm_nouveau.so.2 -> libdrm_nouveau.so.2.0.0 -rw-r--r-- 1 root root 31K May 11 2020 libdrm_nouveau.so.2.0.0 lrwxrwxrwx 1 root root 22 May 11 2020 libdrm_radeon.so.1 -> libdrm_radeon.so.1.0.1 -rw-r--r-- 1 root root 47K May 11 2020 libdrm_radeon.so.1.0.1 lrwxrwxrwx 1 root root 17 Jun 19 2017 libedit.so.2 -> libedit.so.2.0.56 -rw-r--r-- 1 root root 204K Jun 19 2017 libedit.so.2.0.56 -rw-r--r-- 1 root root 103K Jun 7 2019 libelf-0.170.so lrwxrwxrwx 1 root root 15 Jun 7 2019 libelf.so.1 -> libelf-0.170.so lrwxrwxrwx 1 root root 17 Nov 13 2017 libepoxy.so.0 -> libepoxy.so.0.0.0 -rw-r--r-- 1 root root 1.1M Nov 13 2017 libepoxy.so.0.0.0 lrwxrwxrwx 1 root root 19 Apr 27 2016 libepsilon.so.1 -> libepsilon.so.1.0.0 -rw-r--r-- 1 root root 97K Apr 27 2016 libepsilon.so.1.0.0 -rw-r--r-- 1 root root 400K Nov 6 2020 libexif.a lrwxrwxrwx 1 root root 17 Nov 6 2020 libexif.so -> libexif.so.12.3.3 lrwxrwxrwx 1 root root 17 Nov 6 2020 libexif.so.12 -> libexif.so.12.3.3 -rw-r--r-- 1 root root 274K Nov 6 2020 libexif.so.12.3.3 lrwxrwxrwx 1 root root 18 Mar 8 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 Jul 6 11:25 libfreebl3.chk -> nss/libfreebl3.chk lrwxrwxrwx 1 root root 17 Jul 6 11:25 libfreebl3.so -> nss/libfreebl3.so lrwxrwxrwx 1 root root 22 Jul 6 11:25 libfreeblpriv3.chk -> nss/libfreeblpriv3.chk lrwxrwxrwx 1 root root 21 Jul 6 11:25 libfreeblpriv3.so -> nss/libfreeblpriv3.so lrwxrwxrwx 1 root root 21 Jul 19 16:39 libfreetype.so.6 -> libfreetype.so.6.15.0 -rw-r--r-- 1 root root 719K Jul 19 16:39 libfreetype.so.6.15.0 lrwxrwxrwx 1 root root 18 Feb 22 2018 libfreexl.so.1 -> libfreexl.so.1.1.0 -rw-r--r-- 1 root root 34K Feb 22 2018 libfreexl.so.1.1.0 lrwxrwxrwx 1 root root 16 Aug 19 2016 libfyba.so.0 -> libfyba.so.0.0.0 -rw-r--r-- 1 root root 215K Aug 19 2016 libfyba.so.0.0.0 lrwxrwxrwx 1 root root 16 Aug 19 2016 libfygm.so.0 -> libfygm.so.0.0.0 -rw-r--r-- 1 root root 27K Aug 19 2016 libfygm.so.0.0.0 lrwxrwxrwx 1 root root 16 Aug 19 2016 libfyut.so.0 -> libfyut.so.0.0.0 -rw-r--r-- 1 root root 35K Aug 19 2016 libfyut.so.0.0.0 -rw-r--r-- 1 root root 1.2K May 3 10:19 libg.a lrwxrwxrwx 1 root root 14 Aug 30 2021 libgd.so.3 -> libgd.so.3.0.5 -rw-r--r-- 1 root root 397K Aug 30 2021 libgd.so.3.0.5 lrwxrwxrwx 1 root root 16 Mar 14 2018 libgdbm.so.5 -> libgdbm.so.5.0.0 -rw-r--r-- 1 root root 51K Mar 14 2018 libgdbm.so.5.0.0 lrwxrwxrwx 1 root root 23 Mar 14 2018 libgdbm_compat.so.4 -> libgdbm_compat.so.4.0.0 -rw-r--r-- 1 root root 14K Mar 14 2018 libgdbm_compat.so.4.0.0 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmCommon.so -> libgdcmCommon.so.2.8 lrwxrwxrwx 1 root root 22 Feb 5 2018 libgdcmCommon.so.2.8 -> libgdcmCommon.so.2.8.4 -rw-r--r-- 1 root root 155K Feb 5 2018 libgdcmCommon.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmDICT.so -> libgdcmDICT.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmDICT.so.2.8 -> libgdcmDICT.so.2.8.4 -rw-r--r-- 1 root root 2.4M Feb 5 2018 libgdcmDICT.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmDSED.so -> libgdcmDSED.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmDSED.so.2.8 -> libgdcmDSED.so.2.8.4 -rw-r--r-- 1 root root 1.1M Feb 5 2018 libgdcmDSED.so.2.8.4 lrwxrwxrwx 1 root root 17 Feb 5 2018 libgdcmIOD.so -> libgdcmIOD.so.2.8 lrwxrwxrwx 1 root root 19 Feb 5 2018 libgdcmIOD.so.2.8 -> libgdcmIOD.so.2.8.4 -rw-r--r-- 1 root root 87K Feb 5 2018 libgdcmIOD.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmMEXD.so -> libgdcmMEXD.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmMEXD.so.2.8 -> libgdcmMEXD.so.2.8.4 -rw-r--r-- 1 root root 1.1M Feb 5 2018 libgdcmMEXD.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmMSFF.so -> libgdcmMSFF.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmMSFF.so.2.8 -> libgdcmMSFF.so.2.8.4 -rw-r--r-- 1 root root 2.6M Feb 5 2018 libgdcmMSFF.so.2.8.4 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmjpeg12.so -> libgdcmjpeg12.so.2.8 lrwxrwxrwx 1 root root 22 Feb 5 2018 libgdcmjpeg12.so.2.8 -> libgdcmjpeg12.so.2.8.4 -rw-r--r-- 1 root root 158K Feb 5 2018 libgdcmjpeg12.so.2.8.4 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmjpeg16.so -> libgdcmjpeg16.so.2.8 lrwxrwxrwx 1 root root 22 Feb 5 2018 libgdcmjpeg16.so.2.8 -> libgdcmjpeg16.so.2.8.4 -rw-r--r-- 1 root root 158K Feb 5 2018 libgdcmjpeg16.so.2.8.4 lrwxrwxrwx 1 root root 19 Feb 5 2018 libgdcmjpeg8.so -> libgdcmjpeg8.so.2.8 lrwxrwxrwx 1 root root 21 Feb 5 2018 libgdcmjpeg8.so.2.8 -> libgdcmjpeg8.so.2.8.4 -rw-r--r-- 1 root root 158K Feb 5 2018 libgdcmjpeg8.so.2.8.4 lrwxrwxrwx 1 root root 21 Jun 5 2019 libgdk-3.so.0 -> libgdk-3.so.0.2200.30 -rw-r--r-- 1 root root 981K Jun 5 2019 libgdk-3.so.0.2200.30 lrwxrwxrwx 1 root root 27 Mar 24 2018 libgdk-x11-2.0.so.0 -> libgdk-x11-2.0.so.0.2400.32 -rw-r--r-- 1 root root 724K Mar 24 2018 libgdk-x11-2.0.so.0.2400.32 lrwxrwxrwx 1 root root 29 Mar 16 2018 libgdk_pixbuf-2.0.so.0 -> libgdk_pixbuf-2.0.so.0.3611.0 -rw-r--r-- 1 root root 144K Mar 16 2018 libgdk_pixbuf-2.0.so.0.3611.0 lrwxrwxrwx 1 root root 34 Mar 16 2018 libgdk_pixbuf_xlib-2.0.so.0 -> libgdk_pixbuf_xlib-2.0.so.0.3611.0 -rw-r--r-- 1 root root 67K Mar 16 2018 libgdk_pixbuf_xlib-2.0.so.0.3611.0 -rw-r--r-- 1 root root 1.6M Mar 1 2018 libgeos-3.6.2.so lrwxrwxrwx 1 root root 19 Mar 1 2018 libgeos_c.so.1 -> libgeos_c.so.1.10.2 -rw-r--r-- 1 root root 187K Mar 1 2018 libgeos_c.so.1.10.2 lrwxrwxrwx 1 root root 19 Nov 17 2016 libgeotiff.so.2 -> libgeotiff.so.2.1.2 -rw-r--r-- 1 root root 215K Nov 17 2016 libgeotiff.so.2.1.2 lrwxrwxrwx 1 root root 20 Dec 4 2019 libgfortran.so.4 -> libgfortran.so.4.0.0 -rw-r--r-- 1 root root 1.9M Dec 4 2019 libgfortran.so.4.0.0 lrwxrwxrwx 1 root root 15 Aug 19 2019 libgif.so.7 -> libgif.so.7.0.0 -rw-r--r-- 1 root root 34K Aug 19 2019 libgif.so.7.0.0 -rw-r--r-- 1 root root 4.0M Nov 29 2021 libgio-2.0.a lrwxrwxrwx 1 root root 22 Nov 29 2021 libgio-2.0.so -> libgio-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 22 Nov 29 2021 libgio-2.0.so.0 -> libgio-2.0.so.0.5600.4 -rw-r--r-- 1 root root 1.7M Nov 29 2021 libgio-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 28 Apr 15 2018 libgirepository-1.0.so.1 -> libgirepository-1.0.so.1.0.0 -rw-r--r-- 1 root root 208K Apr 15 2018 libgirepository-1.0.so.1.0.0 lrwxrwxrwx 1 root root 17 Sep 27 2017 libgl2ps.so.1.4 -> libgl2ps.so.1.4.0 -rw-r--r-- 1 root root 79K Sep 27 2017 libgl2ps.so.1.4.0 lrwxrwxrwx 1 root root 17 Jun 12 2020 libglapi.so.0 -> libglapi.so.0.0.0 -rw-r--r-- 1 root root 215K Jun 12 2020 libglapi.so.0.0.0 -rw-r--r-- 1 root root 2.0M Nov 29 2021 libglib-2.0.a lrwxrwxrwx 1 root root 23 Nov 29 2021 libglib-2.0.so -> libglib-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 23 Nov 29 2021 libglib-2.0.so.0 -> libglib-2.0.so.0.5600.4 -rw-r--r-- 1 root root 1.1M Nov 29 2021 libglib-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 15 Dec 7 2017 libgme.so.0 -> libgme.so.0.6.2 -rw-r--r-- 1 root root 303K Dec 7 2017 libgme.so.0.6.2 -rw-r--r-- 1 root root 16K Nov 29 2021 libgmodule-2.0.a lrwxrwxrwx 1 root root 26 Nov 29 2021 libgmodule-2.0.so -> libgmodule-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 26 Nov 29 2021 libgmodule-2.0.so.0 -> libgmodule-2.0.so.0.5600.4 -rw-r--r-- 1 root root 14K Nov 29 2021 libgmodule-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 16 Jan 24 2018 libgmp.so.10 -> libgmp.so.10.3.2 -rw-r--r-- 1 root root 515K Jan 24 2018 libgmp.so.10.3.2 lrwxrwxrwx 1 root root 21 Aug 25 2021 libgnutls.so.30 -> libgnutls.so.30.14.10 -rw-r--r-- 1 root root 1.4M Aug 25 2021 libgnutls.so.30.14.10 -rw-r--r-- 1 root root 667K Nov 29 2021 libgobject-2.0.a lrwxrwxrwx 1 root root 26 Nov 29 2021 libgobject-2.0.so -> libgobject-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 26 Nov 29 2021 libgobject-2.0.so.0 -> libgobject-2.0.so.0.5600.4 -rw-r--r-- 1 root root 335K Nov 29 2021 libgobject-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 16 Mar 10 2020 libgomp.so.1 -> libgomp.so.1.0.0 -rw-r--r-- 1 root root 188K Mar 10 2020 libgomp.so.1.0.0 drwxr-xr-x 3 root root 4.0K Aug 16 08:41 libgphoto2 drwxr-xr-x 3 root root 4.0K Aug 16 08:41 libgphoto2-dev -rw-r--r-- 1 root root 262K Dec 23 2017 libgphoto2.a lrwxrwxrwx 1 root root 19 Dec 23 2017 libgphoto2.so -> libgphoto2.so.6.0.0 lrwxrwxrwx 1 root root 19 Dec 23 2017 libgphoto2.so.6 -> libgphoto2.so.6.0.0 -rw-r--r-- 1 root root 143K Dec 23 2017 libgphoto2.so.6.0.0 drwxr-xr-x 3 root root 4.0K Aug 16 08:41 libgphoto2_port -rw-r--r-- 1 root root 79K Dec 23 2017 libgphoto2_port.a lrwxrwxrwx 1 root root 25 Dec 23 2017 libgphoto2_port.so -> libgphoto2_port.so.12.0.0 lrwxrwxrwx 1 root root 25 Dec 23 2017 libgphoto2_port.so.12 -> libgphoto2_port.so.12.0.0 -rw-r--r-- 1 root root 43K Dec 23 2017 libgphoto2_port.so.12.0.0 lrwxrwxrwx 1 root root 17 Mar 11 2018 libgraphite2.so -> libgraphite2.so.3 lrwxrwxrwx 1 root root 17 Mar 11 2018 libgraphite2.so.2.0.0 -> libgraphite2.so.3 lrwxrwxrwx 1 root root 21 Mar 11 2018 libgraphite2.so.3 -> libgraphite2.so.3.0.1 -rw-r--r-- 1 root root 179K Mar 11 2018 libgraphite2.so.3.0.1 lrwxrwxrwx 1 root root 16 Apr 3 2018 libgsm.so.1 -> libgsm.so.1.0.12 -rw-r--r-- 1 root root 51K Apr 3 2018 libgsm.so.1.0.12 lrwxrwxrwx 1 root root 18 Dec 15 2017 libgssapi.so.3 -> libgssapi.so.3.0.0 -rw-r--r-- 1 root root 260K Dec 15 2017 libgssapi.so.3.0.0 lrwxrwxrwx 1 root root 21 Nov 11 2020 libgssapi_krb5.so.2 -> libgssapi_krb5.so.2.2 -rw-r--r-- 1 root root 299K Nov 11 2020 libgssapi_krb5.so.2.2 -rw-r--r-- 1 root root 2.7K Nov 29 2021 libgthread-2.0.a lrwxrwxrwx 1 root root 26 Nov 29 2021 libgthread-2.0.so -> libgthread-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 26 Nov 29 2021 libgthread-2.0.so.0 -> libgthread-2.0.so.0.5600.4 -rw-r--r-- 1 root root 5.9K Nov 29 2021 libgthread-2.0.so.0.5600.4 drwxr-xr-x 2 root root 4.0K Aug 16 08:41 libgtk-3-0 lrwxrwxrwx 1 root root 21 Jun 5 2019 libgtk-3.so.0 -> libgtk-3.so.0.2200.30 -rw-r--r-- 1 root root 7.1M Jun 5 2019 libgtk-3.so.0.2200.30 lrwxrwxrwx 1 root root 27 Mar 24 2018 libgtk-x11-2.0.so.0 -> libgtk-x11-2.0.so.0.2400.32 -rw-r--r-- 1 root root 4.3M Mar 24 2018 libgtk-x11-2.0.so.0.2400.32 drwxr-xr-x 2 root root 4.0K Aug 16 08:41 libgtk2.0-0 lrwxrwxrwx 1 root root 19 Feb 3 2017 libgts-0.7.so.5 -> libgts-0.7.so.5.0.1 -rw-r--r-- 1 root root 371K Feb 3 2017 libgts-0.7.so.5.0.1 lrwxrwxrwx 1 root root 15 Mar 24 2018 libgvc.so -> libgvc.so.6.0.0 lrwxrwxrwx 1 root root 15 Mar 24 2018 libgvc.so.6 -> libgvc.so.6.0.0 -rw-r--r-- 1 root root 613K Mar 24 2018 libgvc.so.6.0.0 lrwxrwxrwx 1 root root 16 Mar 24 2018 libgvpr.so -> libgvpr.so.2.0.0 lrwxrwxrwx 1 root root 16 Mar 24 2018 libgvpr.so.2 -> libgvpr.so.2.0.0 -rw-r--r-- 1 root root 480K Mar 24 2018 libgvpr.so.2.0.0 -rw-r--r-- 1 root root 67K Apr 13 2018 libharfbuzz-gobject.a lrwxrwxrwx 1 root root 32 Apr 13 2018 libharfbuzz-gobject.so -> libharfbuzz-gobject.so.0.10702.0 lrwxrwxrwx 1 root root 32 Apr 13 2018 libharfbuzz-gobject.so.0 -> libharfbuzz-gobject.so.0.10702.0 -rw-r--r-- 1 root root 55K Apr 13 2018 libharfbuzz-gobject.so.0.10702.0 -rw-r--r-- 1 root root 7.0K Apr 13 2018 libharfbuzz-icu.a lrwxrwxrwx 1 root root 28 Apr 13 2018 libharfbuzz-icu.so -> libharfbuzz-icu.so.0.10702.0 lrwxrwxrwx 1 root root 28 Apr 13 2018 libharfbuzz-icu.so.0 -> libharfbuzz-icu.so.0.10702.0 -rw-r--r-- 1 root root 11K Apr 13 2018 libharfbuzz-icu.so.0.10702.0 -rw-r--r-- 1 root root 965K Apr 13 2018 libharfbuzz.a lrwxrwxrwx 1 root root 24 Apr 13 2018 libharfbuzz.so -> libharfbuzz.so.0.10702.0 lrwxrwxrwx 1 root root 24 Apr 13 2018 libharfbuzz.so.0 -> libharfbuzz.so.0.10702.0 -rw-r--r-- 1 root root 631K Apr 13 2018 libharfbuzz.so.0.10702.0 lrwxrwxrwx 1 root root 19 Dec 15 2017 libhcrypto.so.4 -> libhcrypto.so.4.1.0 -rw-r--r-- 1 root root 213K Dec 15 2017 libhcrypto.so.4.1.0 lrwxrwxrwx 1 root root 26 Aug 13 2017 libhdf5_openmpi.so.100 -> libhdf5_openmpi.so.100.0.1 -rw-r--r-- 1 root root 3.5M Aug 13 2017 libhdf5_openmpi.so.100.0.1 lrwxrwxrwx 1 root root 34 Aug 13 2017 libhdf5_openmpi_fortran.so.100 -> libhdf5_openmpi_fortran.so.100.0.1 -rw-r--r-- 1 root root 249K Aug 13 2017 libhdf5_openmpi_fortran.so.100.0.1 lrwxrwxrwx 1 root root 29 Aug 13 2017 libhdf5_openmpi_hl.so.100 -> libhdf5_openmpi_hl.so.100.0.0 -rw-r--r-- 1 root root 136K Aug 13 2017 libhdf5_openmpi_hl.so.100.0.0 lrwxrwxrwx 1 root root 36 Aug 13 2017 libhdf5_openmpihl_fortran.so.100 -> libhdf5_openmpihl_fortran.so.100.0.0 -rw-r--r-- 1 root root 119K Aug 13 2017 libhdf5_openmpihl_fortran.so.100.0.0 lrwxrwxrwx 1 root root 25 Aug 13 2017 libhdf5_serial.so.100 -> libhdf5_serial.so.100.0.1 -rw-r--r-- 1 root root 3.4M Aug 13 2017 libhdf5_serial.so.100.0.1 lrwxrwxrwx 1 root root 33 Aug 13 2017 libhdf5_serial_fortran.so.100 -> libhdf5_serial_fortran.so.100.0.1 -rw-r--r-- 1 root root 245K Aug 13 2017 libhdf5_serial_fortran.so.100.0.1 lrwxrwxrwx 1 root root 28 Aug 13 2017 libhdf5_serial_hl.so.100 -> libhdf5_serial_hl.so.100.0.0 -rw-r--r-- 1 root root 136K Aug 13 2017 libhdf5_serial_hl.so.100.0.0 lrwxrwxrwx 1 root root 35 Aug 13 2017 libhdf5_serialhl_fortran.so.100 -> libhdf5_serialhl_fortran.so.100.0.0 -rw-r--r-- 1 root root 119K Aug 13 2017 libhdf5_serialhl_fortran.so.100.0.0 lrwxrwxrwx 1 root root 20 Dec 15 2017 libheimbase.so.1 -> libheimbase.so.1.0.0 -rw-r--r-- 1 root root 59K Dec 15 2017 libheimbase.so.1.0.0 lrwxrwxrwx 1 root root 20 Dec 15 2017 libheimntlm.so.0 -> libheimntlm.so.0.1.0 -rw-r--r-- 1 root root 35K Dec 15 2017 libheimntlm.so.0.1.0 lrwxrwxrwx 1 root root 17 Jun 14 2021 libhogweed.so.4 -> libhogweed.so.4.5 -rw-r--r-- 1 root root 215K Jun 14 2021 libhogweed.so.4.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.0 -> libhwloc.so.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.1 -> libhwloc.so.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.2 -> libhwloc.so.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.3 -> libhwloc.so.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.4 -> libhwloc.so.5 lrwxrwxrwx 1 root root 17 Jan 19 2018 libhwloc.so.5 -> libhwloc.so.5.7.6 -rw-r--r-- 1 root root 244K Jan 19 2018 libhwloc.so.5.7.6 lrwxrwxrwx 1 root root 17 Dec 15 2017 libhx509.so.5 -> libhx509.so.5.0.0 -rw-r--r-- 1 root root 294K Dec 15 2017 libhx509.so.5.0.0 lrwxrwxrwx 1 root root 22 Aug 5 2019 libibverbs.so.1 -> libibverbs.so.1.1.17.1 -rw-r--r-- 1 root root 87K Aug 5 2019 libibverbs.so.1.1.17.1 -rw-r--r-- 1 root root 55K Dec 9 2017 libicu-le-hb.a lrwxrwxrwx 1 root root 21 Dec 9 2017 libicu-le-hb.so -> libicu-le-hb.so.0.0.0 lrwxrwxrwx 1 root root 21 Dec 9 2017 libicu-le-hb.so.0 -> libicu-le-hb.so.0.0.0 -rw-r--r-- 1 root root 35K Dec 9 2017 libicu-le-hb.so.0.0.0 -rw-r--r-- 1 root root 26M Oct 19 2021 libicudata.a lrwxrwxrwx 1 root root 18 Oct 19 2021 libicudata.so -> libicudata.so.60.2 lrwxrwxrwx 1 root root 18 Oct 19 2021 libicudata.so.60 -> libicudata.so.60.2 -rw-r--r-- 1 root root 26M Oct 19 2021 libicudata.so.60.2 -rw-r--r-- 1 root root 5.9M Oct 19 2021 libicui18n.a lrwxrwxrwx 1 root root 18 Oct 19 2021 libicui18n.so -> libicui18n.so.60.2 lrwxrwxrwx 1 root root 18 Oct 19 2021 libicui18n.so.60 -> libicui18n.so.60.2 -rw-r--r-- 1 root root 2.7M Oct 19 2021 libicui18n.so.60.2 -rw-r--r-- 1 root root 85K Oct 19 2021 libicuio.a lrwxrwxrwx 1 root root 16 Oct 19 2021 libicuio.so -> libicuio.so.60.2 lrwxrwxrwx 1 root root 16 Oct 19 2021 libicuio.so.60 -> libicuio.so.60.2 -rw-r--r-- 1 root root 55K Oct 19 2021 libicuio.so.60.2 -rw-r--r-- 1 root root 75K Oct 19 2021 libiculx.a lrwxrwxrwx 1 root root 16 Oct 19 2021 libiculx.so -> libiculx.so.60.2 lrwxrwxrwx 1 root root 16 Oct 19 2021 libiculx.so.60 -> libiculx.so.60.2 -rw-r--r-- 1 root root 47K Oct 19 2021 libiculx.so.60.2 -rw-r--r-- 1 root root 109K Oct 19 2021 libicutest.a lrwxrwxrwx 1 root root 18 Oct 19 2021 libicutest.so -> libicutest.so.60.2 lrwxrwxrwx 1 root root 18 Oct 19 2021 libicutest.so.60 -> libicutest.so.60.2 -rw-r--r-- 1 root root 64K Oct 19 2021 libicutest.so.60.2 -rw-r--r-- 1 root root 359K Oct 19 2021 libicutu.a lrwxrwxrwx 1 root root 16 Oct 19 2021 libicutu.so -> libicutu.so.60.2 lrwxrwxrwx 1 root root 16 Oct 19 2021 libicutu.so.60 -> libicutu.so.60.2 -rw-r--r-- 1 root root 199K Oct 19 2021 libicutu.so.60.2 -rw-r--r-- 1 root root 3.1M Oct 19 2021 libicuuc.a lrwxrwxrwx 1 root root 16 Oct 19 2021 libicuuc.so -> libicuuc.so.60.2 lrwxrwxrwx 1 root root 16 Oct 19 2021 libicuuc.so.60 -> libicuuc.so.60.2 -rw-r--r-- 1 root root 1.8M Oct 19 2021 libicuuc.so.60.2 lrwxrwxrwx 1 root root 16 Oct 24 2019 libidn2.so.0 -> libidn2.so.0.3.3 -rw-r--r-- 1 root root 114K Oct 24 2019 libidn2.so.0.3.3 lrwxrwxrwx 1 root root 20 Jan 14 2018 libinfinipath.so.4 -> libinfinipath.so.4.0 -rw-r--r-- 1 root root 59K Jan 14 2018 libinfinipath.so.4.0 lrwxrwxrwx 1 root root 16 Mar 9 2018 libisl.so.19 -> libisl.so.19.0.0 -rw-r--r-- 1 root root 1.6M Mar 9 2018 libisl.so.19.0.0 lrwxrwxrwx 1 root root 15 Mar 10 2020 libitm.so.1 -> libitm.so.1.0.0 -rw-r--r-- 1 root root 111K Mar 10 2020 libitm.so.1.0.0 -rw-r--r-- 1 root root 51K Apr 3 2018 libjbig.a lrwxrwxrwx 1 root root 12 Apr 3 2018 libjbig.so -> libjbig.so.0 -rw-r--r-- 1 root root 57K Apr 3 2018 libjbig.so.0 -rw-r--r-- 1 root root 579K Jun 4 2020 libjpeg.a lrwxrwxrwx 1 root root 16 Jun 4 2020 libjpeg.so -> libjpeg.so.8.1.2 lrwxrwxrwx 1 root root 16 Jun 4 2020 libjpeg.so.8 -> libjpeg.so.8.1.2 -rw-r--r-- 1 root root 415K Jun 4 2020 libjpeg.so.8.1.2 lrwxrwxrwx 1 root root 27 Apr 6 2020 libjson-glib-1.0.so.0 -> libjson-glib-1.0.so.0.400.2 -rw-r--r-- 1 root root 154K Apr 6 2020 libjson-glib-1.0.so.0.400.2 lrwxrwxrwx 1 root root 19 Aug 23 2016 libjsoncpp.so.1 -> libjsoncpp.so.1.7.4 -rw-r--r-- 1 root root 199K Aug 23 2016 libjsoncpp.so.1.7.4 lrwxrwxrwx 1 root root 18 Nov 11 2020 libk5crypto.so.3 -> libk5crypto.so.3.1 -rw-r--r-- 1 root root 195K Nov 11 2020 libk5crypto.so.3.1 lrwxrwxrwx 1 root root 19 Sep 25 2017 libkmlbase.so.1 -> libkmlbase.so.1.3.0 -rw-r--r-- 1 root root 107K Sep 25 2017 libkmlbase.so.1.3.0 lrwxrwxrwx 1 root root 18 Sep 25 2017 libkmldom.so.1 -> libkmldom.so.1.3.0 -rw-r--r-- 1 root root 731K Sep 25 2017 libkmldom.so.1.3.0 lrwxrwxrwx 1 root root 21 Sep 25 2017 libkmlengine.so.1 -> libkmlengine.so.1.3.0 -rw-r--r-- 1 root root 223K Sep 25 2017 libkmlengine.so.1.3.0 lrwxrwxrwx 1 root root 17 Dec 15 2017 libkrb5.so.26 -> libkrb5.so.26.0.0 -rw-r--r-- 1 root root 561K Dec 15 2017 libkrb5.so.26.0.0 lrwxrwxrwx 1 root root 14 Nov 11 2020 libkrb5.so.3 -> libkrb5.so.3.3 -rw-r--r-- 1 root root 857K Nov 11 2020 libkrb5.so.3.3 lrwxrwxrwx 1 root root 21 Nov 11 2020 libkrb5support.so.0 -> libkrb5support.so.0.1 -rw-r--r-- 1 root root 43K Nov 11 2020 libkrb5support.so.0.1 lrwxrwxrwx 1 root root 21 Mar 24 2018 liblab_gamut.so -> liblab_gamut.so.1.0.0 lrwxrwxrwx 1 root root 21 Mar 24 2018 liblab_gamut.so.1 -> liblab_gamut.so.1.0.0 -rw-r--r-- 1 root root 2.4M Mar 24 2018 liblab_gamut.so.1.0.0 lrwxrwxrwx 1 root root 46 Aug 16 08:41 liblapack.a -> /etc/alternatives/liblapack.a-x86_64-linux-gnu lrwxrwxrwx 1 root root 47 Aug 16 08:41 liblapack.so -> /etc/alternatives/liblapack.so-x86_64-linux-gnu lrwxrwxrwx 1 root root 49 Aug 16 08:41 liblapack.so.3 -> /etc/alternatives/liblapack.so.3-x86_64-linux-gnu lrwxrwxrwx 1 root root 21 May 12 13:52 liblber-2.4.so.2 -> liblber-2.4.so.2.10.8 -rw-r--r-- 1 root root 55K May 12 13:52 liblber-2.4.so.2.10.8 lrwxrwxrwx 1 root root 17 Sep 20 2018 liblcms2.so.2 -> liblcms2.so.2.0.8 -rw-r--r-- 1 root root 349K Sep 20 2018 liblcms2.so.2.0.8 lrwxrwxrwx 1 root root 18 May 12 13:52 libldap-2.4.so.2 -> libldap_r-2.4.so.2 lrwxrwxrwx 1 root root 23 May 12 13:52 libldap_r-2.4.so.2 -> libldap_r-2.4.so.2.10.8 -rw-r--r-- 1 root root 320K May 12 13:52 libldap_r-2.4.so.2.10.8 lrwxrwxrwx 1 root root 16 Mar 2 2018 liblept.so.5 -> liblept.so.5.0.2 -rw-r--r-- 1 root root 2.4M Mar 2 2018 liblept.so.5.0.2 lrwxrwxrwx 1 root root 16 Mar 10 2020 liblsan.so.0 -> liblsan.so.0.0.0 -rw-r--r-- 1 root root 338K Mar 10 2020 liblsan.so.0.0.0 lrwxrwxrwx 1 root root 16 Aug 20 2016 libltdl.so.7 -> libltdl.so.7.3.1 -rw-r--r-- 1 root root 39K Aug 20 2016 libltdl.so.7.3.1 lrwxrwxrwx 1 root root 15 May 20 2021 liblz4.so.1 -> liblz4.so.1.7.1 -rw-r--r-- 1 root root 111K May 20 2021 liblz4.so.1.7.1 -rw-r--r-- 1 root root 261K Apr 8 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 Jul 26 11:28 libmysqlclient.so.20 -> libmysqlclient.so.20.3.26 -rw-r--r-- 1 root root 3.8M Jul 26 11:28 libmysqlclient.so.20.3.26 -rw-r--r-- 1 root root 1.1M Feb 9 2018 libnetcdf.so.13 lrwxrwxrwx 1 root root 22 Nov 9 2017 libnetcdf_c++.so.4 -> libnetcdf_c++.so.4.2.0 -rw-r--r-- 1 root root 119K Nov 9 2017 libnetcdf_c++.so.4.2.0 lrwxrwxrwx 1 root root 16 Jun 14 2021 libnettle.so.6 -> libnettle.so.6.5 -rw-r--r-- 1 root root 215K Jun 14 2021 libnettle.so.6.5 lrwxrwxrwx 1 root root 21 Apr 10 2018 libnghttp2.so.14 -> libnghttp2.so.14.15.2 -rw-r--r-- 1 root root 150K Apr 10 2018 libnghttp2.so.14.15.2 lrwxrwxrwx 1 root root 25 Jun 2 2017 libnl-route-3.so.200 -> libnl-route-3.so.200.24.0 -rw-r--r-- 1 root root 458K Jun 2 2017 libnl-route-3.so.200.24.0 -rw-r--r-- 1 root root 201K May 3 10:19 libnsl.a lrwxrwxrwx 1 root root 33 May 3 10:19 libnsl.so -> /lib/x86_64-linux-gnu/libnsl.so.1 -rw-r--r-- 1 root root 234K Feb 22 2018 libnspr4.so -rw-r--r-- 1 root root 1.3M Jul 6 11:25 libnss3.so lrwxrwxrwx 1 root root 40 May 3 10:19 libnss_compat.so -> /lib/x86_64-linux-gnu/libnss_compat.so.2 lrwxrwxrwx 1 root root 37 May 3 10:19 libnss_dns.so -> /lib/x86_64-linux-gnu/libnss_dns.so.2 lrwxrwxrwx 1 root root 39 May 3 10:19 libnss_files.so -> /lib/x86_64-linux-gnu/libnss_files.so.2 lrwxrwxrwx 1 root root 40 May 3 10:19 libnss_hesiod.so -> /lib/x86_64-linux-gnu/libnss_hesiod.so.2 lrwxrwxrwx 1 root root 37 May 3 10:19 libnss_nis.so -> /lib/x86_64-linux-gnu/libnss_nis.so.2 lrwxrwxrwx 1 root root 41 May 3 10:19 libnss_nisplus.so -> /lib/x86_64-linux-gnu/libnss_nisplus.so.2 -rw-r--r-- 1 root root 187K Jul 6 11:25 libnssutil3.so lrwxrwxrwx 1 root root 16 Jun 20 2018 libnuma.so.1 -> libnuma.so.1.0.0 -rw-r--r-- 1 root root 43K Jun 20 2018 libnuma.so.1.0.0 lrwxrwxrwx 1 root root 12 Mar 26 2018 libodbc.so.1 -> libodbc.so.2 lrwxrwxrwx 1 root root 16 Mar 26 2018 libodbc.so.2 -> libodbc.so.2.0.0 -rw-r--r-- 1 root root 422K Mar 26 2018 libodbc.so.2.0.0 lrwxrwxrwx 1 root root 14 Mar 26 2018 libodbccr.so.1 -> libodbccr.so.2 lrwxrwxrwx 1 root root 18 Mar 26 2018 libodbccr.so.2 -> libodbccr.so.2.0.0 -rw-r--r-- 1 root root 43K Mar 26 2018 libodbccr.so.2.0.0 lrwxrwxrwx 1 root root 16 Mar 26 2018 libodbcinst.so.1 -> libodbcinst.so.2 lrwxrwxrwx 1 root root 20 Mar 26 2018 libodbcinst.so.2 -> libodbcinst.so.2.0.0 -rw-r--r-- 1 root root 71K Mar 26 2018 libodbcinst.so.2.0.0 lrwxrwxrwx 1 root root 15 Jun 2 2014 libogg.so.0 -> libogg.so.0.8.2 -rw-r--r-- 1 root root 34K Jun 2 2014 libogg.so.0.8.2 lrwxrwxrwx 1 root root 23 Feb 5 2018 libompitrace.so.20 -> libompitrace.so.20.10.0 lrwxrwxrwx 1 root root 35 Feb 5 2018 libompitrace.so.20.10.0 -> openmpi/lib/libompitrace.so.20.10.0 -rw-r--r-- 1 root root 1.7M Oct 20 2021 libopcodes-2.30-system.so lrwxrwxrwx 1 root root 22 Feb 5 2018 libopen-pal.so.20 -> libopen-pal.so.20.10.1 lrwxrwxrwx 1 root root 34 Feb 5 2018 libopen-pal.so.20.10.1 -> openmpi/lib/libopen-pal.so.20.10.1 lrwxrwxrwx 1 root root 22 Feb 5 2018 libopen-rte.so.20 -> libopen-rte.so.20.10.1 lrwxrwxrwx 1 root root 34 Feb 5 2018 libopen-rte.so.20.10.1 -> openmpi/lib/libopen-rte.so.20.10.1 lrwxrwxrwx 1 root root 22 Sep 19 2017 libopenblas.a -> libopenblasp-r0.2.20.a lrwxrwxrwx 1 root root 23 Sep 19 2017 libopenblas.so -> libopenblasp-r0.2.20.so lrwxrwxrwx 1 root root 23 Sep 19 2017 libopenblas.so.0 -> libopenblasp-r0.2.20.so -rw-r--r-- 1 root root 51M Sep 19 2017 libopenblasp-r0.2.20.a -rw-r--r-- 1 root root 33M Sep 19 2017 libopenblasp-r0.2.20.so -rw-r--r-- 1 root root 483K Sep 20 2018 libopencv_aruco.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_aruco.so -> libopencv_aruco.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_aruco.so.3.2 -> libopencv_aruco.so.3.2.0 -rw-r--r-- 1 root root 285K Sep 20 2018 libopencv_aruco.so.3.2.0 -rw-r--r-- 1 root root 116K Sep 20 2018 libopencv_bgsegm.a lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_bgsegm.so -> libopencv_bgsegm.so.3.2 lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_bgsegm.so.3.2 -> libopencv_bgsegm.so.3.2.0 -rw-r--r-- 1 root root 51K Sep 20 2018 libopencv_bgsegm.so.3.2.0 -rw-r--r-- 1 root root 449K Sep 20 2018 libopencv_bioinspired.a lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_bioinspired.so -> libopencv_bioinspired.so.3.2 lrwxrwxrwx 1 root root 30 Sep 20 2018 libopencv_bioinspired.so.3.2 -> libopencv_bioinspired.so.3.2.0 -rw-r--r-- 1 root root 171K Sep 20 2018 libopencv_bioinspired.so.3.2.0 -rw-r--r-- 1 root root 2.3M Sep 20 2018 libopencv_calib3d.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_calib3d.so -> libopencv_calib3d.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_calib3d.so.3.2 -> libopencv_calib3d.so.3.2.0 -rw-r--r-- 1 root root 1.4M Sep 20 2018 libopencv_calib3d.so.3.2.0 -rw-r--r-- 1 root root 633K Sep 20 2018 libopencv_ccalib.a lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_ccalib.so -> libopencv_ccalib.so.3.2 lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_ccalib.so.3.2 -> libopencv_ccalib.so.3.2.0 -rw-r--r-- 1 root root 363K Sep 20 2018 libopencv_ccalib.so.3.2.0 -rw-r--r-- 1 root root 4.6M Sep 20 2018 libopencv_core.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_core.so -> libopencv_core.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_core.so.3.2 -> libopencv_core.so.3.2.0 -rw-r--r-- 1 root root 2.3M Sep 20 2018 libopencv_core.so.3.2.0 -rw-r--r-- 1 root root 1.4M Sep 20 2018 libopencv_datasets.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_datasets.so -> libopencv_datasets.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_datasets.so.3.2 -> libopencv_datasets.so.3.2.0 -rw-r--r-- 1 root root 399K Sep 20 2018 libopencv_datasets.so.3.2.0 -rw-r--r-- 1 root root 206K Sep 20 2018 libopencv_dpm.a lrwxrwxrwx 1 root root 20 Sep 20 2018 libopencv_dpm.so -> libopencv_dpm.so.3.2 lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_dpm.so.3.2 -> libopencv_dpm.so.3.2.0 -rw-r--r-- 1 root root 99K Sep 20 2018 libopencv_dpm.so.3.2.0 -rw-r--r-- 1 root root 331K Sep 20 2018 libopencv_face.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_face.so -> libopencv_face.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_face.so.3.2 -> libopencv_face.so.3.2.0 -rw-r--r-- 1 root root 143K Sep 20 2018 libopencv_face.so.3.2.0 -rw-r--r-- 1 root root 1.4M Sep 20 2018 libopencv_features2d.a lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_features2d.so -> libopencv_features2d.so.3.2 lrwxrwxrwx 1 root root 29 Sep 20 2018 libopencv_features2d.so.3.2 -> libopencv_features2d.so.3.2.0 -rw-r--r-- 1 root root 723K Sep 20 2018 libopencv_features2d.so.3.2.0 -rw-r--r-- 1 root root 1007K Sep 20 2018 libopencv_flann.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_flann.so -> libopencv_flann.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_flann.so.3.2 -> libopencv_flann.so.3.2.0 -rw-r--r-- 1 root root 319K Sep 20 2018 libopencv_flann.so.3.2.0 -rw-r--r-- 1 root root 43K Sep 20 2018 libopencv_freetype.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_freetype.so -> libopencv_freetype.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_freetype.so.3.2 -> libopencv_freetype.so.3.2.0 -rw-r--r-- 1 root root 27K Sep 20 2018 libopencv_freetype.so.3.2.0 -rw-r--r-- 1 root root 73K Sep 20 2018 libopencv_fuzzy.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_fuzzy.so -> libopencv_fuzzy.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_fuzzy.so.3.2 -> libopencv_fuzzy.so.3.2.0 -rw-r--r-- 1 root root 54K Sep 20 2018 libopencv_fuzzy.so.3.2.0 -rw-r--r-- 1 root root 75K Sep 20 2018 libopencv_hdf.a lrwxrwxrwx 1 root root 20 Sep 20 2018 libopencv_hdf.so -> libopencv_hdf.so.3.2 lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_hdf.so.3.2 -> libopencv_hdf.so.3.2.0 -rw-r--r-- 1 root root 39K Sep 20 2018 libopencv_hdf.so.3.2.0 -rw-r--r-- 1 root root 94K Sep 20 2018 libopencv_highgui.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_highgui.so -> libopencv_highgui.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_highgui.so.3.2 -> libopencv_highgui.so.3.2.0 -rw-r--r-- 1 root root 47K Sep 20 2018 libopencv_highgui.so.3.2.0 -rw-r--r-- 1 root root 756K Sep 20 2018 libopencv_imgcodecs.a lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_imgcodecs.so -> libopencv_imgcodecs.so.3.2 lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_imgcodecs.so.3.2 -> libopencv_imgcodecs.so.3.2.0 -rw-r--r-- 1 root root 227K Sep 20 2018 libopencv_imgcodecs.so.3.2.0 -rw-r--r-- 1 root root 5.5M Sep 20 2018 libopencv_imgproc.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_imgproc.so -> libopencv_imgproc.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_imgproc.so.3.2 -> libopencv_imgproc.so.3.2.0 -rw-r--r-- 1 root root 2.8M Sep 20 2018 libopencv_imgproc.so.3.2.0 -rw-r--r-- 1 root root 312K Sep 20 2018 libopencv_line_descriptor.a lrwxrwxrwx 1 root root 32 Sep 20 2018 libopencv_line_descriptor.so -> libopencv_line_descriptor.so.3.2 lrwxrwxrwx 1 root root 34 Sep 20 2018 libopencv_line_descriptor.so.3.2 -> libopencv_line_descriptor.so.3.2.0 -rw-r--r-- 1 root root 159K Sep 20 2018 libopencv_line_descriptor.so.3.2.0 -rw-r--r-- 1 root root 1.5M Sep 20 2018 libopencv_ml.a lrwxrwxrwx 1 root root 19 Sep 20 2018 libopencv_ml.so -> libopencv_ml.so.3.2 lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_ml.so.3.2 -> libopencv_ml.so.3.2.0 -rw-r--r-- 1 root root 679K Sep 20 2018 libopencv_ml.so.3.2.0 -rw-r--r-- 1 root root 689K Sep 20 2018 libopencv_objdetect.a lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_objdetect.so -> libopencv_objdetect.so.3.2 lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_objdetect.so.3.2 -> libopencv_objdetect.so.3.2.0 -rw-r--r-- 1 root root 343K Sep 20 2018 libopencv_objdetect.so.3.2.0 -rw-r--r-- 1 root root 648K Sep 20 2018 libopencv_optflow.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_optflow.so -> libopencv_optflow.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_optflow.so.3.2 -> libopencv_optflow.so.3.2.0 -rw-r--r-- 1 root root 327K Sep 20 2018 libopencv_optflow.so.3.2.0 -rw-r--r-- 1 root root 62K Sep 20 2018 libopencv_phase_unwrapping.a lrwxrwxrwx 1 root root 33 Sep 20 2018 libopencv_phase_unwrapping.so -> libopencv_phase_unwrapping.so.3.2 lrwxrwxrwx 1 root root 35 Sep 20 2018 libopencv_phase_unwrapping.so.3.2 -> libopencv_phase_unwrapping.so.3.2.0 -rw-r--r-- 1 root root 35K Sep 20 2018 libopencv_phase_unwrapping.so.3.2.0 -rw-r--r-- 1 root root 1.5M Sep 20 2018 libopencv_photo.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_photo.so -> libopencv_photo.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_photo.so.3.2 -> libopencv_photo.so.3.2.0 -rw-r--r-- 1 root root 771K Sep 20 2018 libopencv_photo.so.3.2.0 -rw-r--r-- 1 root root 66K Sep 20 2018 libopencv_plot.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_plot.so -> libopencv_plot.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_plot.so.3.2 -> libopencv_plot.so.3.2.0 -rw-r--r-- 1 root root 43K Sep 20 2018 libopencv_plot.so.3.2.0 -rw-r--r-- 1 root root 268K Sep 20 2018 libopencv_reg.a lrwxrwxrwx 1 root root 20 Sep 20 2018 libopencv_reg.so -> libopencv_reg.so.3.2 lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_reg.so.3.2 -> libopencv_reg.so.3.2.0 -rw-r--r-- 1 root root 127K Sep 20 2018 libopencv_reg.so.3.2.0 -rw-r--r-- 1 root root 982K Sep 20 2018 libopencv_rgbd.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_rgbd.so -> libopencv_rgbd.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_rgbd.so.3.2 -> libopencv_rgbd.so.3.2.0 -rw-r--r-- 1 root root 535K Sep 20 2018 libopencv_rgbd.so.3.2.0 -rw-r--r-- 1 root root 353K Sep 20 2018 libopencv_saliency.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_saliency.so -> libopencv_saliency.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_saliency.so.3.2 -> libopencv_saliency.so.3.2.0 -rw-r--r-- 1 root root 179K Sep 20 2018 libopencv_saliency.so.3.2.0 -rw-r--r-- 1 root root 428K Sep 20 2018 libopencv_shape.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_shape.so -> libopencv_shape.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_shape.so.3.2 -> libopencv_shape.so.3.2.0 -rw-r--r-- 1 root root 187K Sep 20 2018 libopencv_shape.so.3.2.0 -rw-r--r-- 1 root root 327K Sep 20 2018 libopencv_stereo.a lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_stereo.so -> libopencv_stereo.so.3.2 lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_stereo.so.3.2 -> libopencv_stereo.so.3.2.0 -rw-r--r-- 1 root root 123K Sep 20 2018 libopencv_stereo.so.3.2.0 -rw-r--r-- 1 root root 1.1M Sep 20 2018 libopencv_stitching.a lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_stitching.so -> libopencv_stitching.so.3.2 lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_stitching.so.3.2 -> libopencv_stitching.so.3.2.0 -rw-r--r-- 1 root root 519K Sep 20 2018 libopencv_stitching.so.3.2.0 -rw-r--r-- 1 root root 156K Sep 20 2018 libopencv_structured_light.a lrwxrwxrwx 1 root root 33 Sep 20 2018 libopencv_structured_light.so -> libopencv_structured_light.so.3.2 lrwxrwxrwx 1 root root 35 Sep 20 2018 libopencv_structured_light.so.3.2 -> libopencv_structured_light.so.3.2.0 -rw-r--r-- 1 root root 91K Sep 20 2018 libopencv_structured_light.so.3.2.0 -rw-r--r-- 1 root root 295K Sep 20 2018 libopencv_superres.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_superres.so -> libopencv_superres.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_superres.so.3.2 -> libopencv_superres.so.3.2.0 -rw-r--r-- 1 root root 151K Sep 20 2018 libopencv_superres.so.3.2.0 -rw-r--r-- 1 root root 1.1M Sep 20 2018 libopencv_surface_matching.a lrwxrwxrwx 1 root root 33 Sep 20 2018 libopencv_surface_matching.so -> libopencv_surface_matching.so.3.2 lrwxrwxrwx 1 root root 35 Sep 20 2018 libopencv_surface_matching.so.3.2 -> libopencv_surface_matching.so.3.2.0 -rw-r--r-- 1 root root 259K Sep 20 2018 libopencv_surface_matching.so.3.2.0 -rw-r--r-- 1 root root 761K Sep 20 2018 libopencv_text.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_text.so -> libopencv_text.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_text.so.3.2 -> libopencv_text.so.3.2.0 -rw-r--r-- 1 root root 367K Sep 20 2018 libopencv_text.so.3.2.0 -rw-r--r-- 1 root root 1.6M Sep 20 2018 libopencv_ts.a -rw-r--r-- 1 root root 700K Sep 20 2018 libopencv_video.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_video.so -> libopencv_video.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_video.so.3.2 -> libopencv_video.so.3.2.0 -rw-r--r-- 1 root root 395K Sep 20 2018 libopencv_video.so.3.2.0 -rw-r--r-- 1 root root 488K Sep 20 2018 libopencv_videoio.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_videoio.so -> libopencv_videoio.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_videoio.so.3.2 -> libopencv_videoio.so.3.2.0 -rw-r--r-- 1 root root 211K Sep 20 2018 libopencv_videoio.so.3.2.0 -rw-r--r-- 1 root root 688K Sep 20 2018 libopencv_videostab.a lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_videostab.so -> libopencv_videostab.so.3.2 lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_videostab.so.3.2 -> libopencv_videostab.so.3.2.0 -rw-r--r-- 1 root root 347K Sep 20 2018 libopencv_videostab.so.3.2.0 -rw-r--r-- 1 root root 1019K Sep 20 2018 libopencv_viz.a lrwxrwxrwx 1 root root 20 Sep 20 2018 libopencv_viz.so -> libopencv_viz.so.3.2 lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_viz.so.3.2 -> libopencv_viz.so.3.2.0 -rw-r--r-- 1 root root 363K Sep 20 2018 libopencv_viz.so.3.2.0 -rw-r--r-- 1 root root 2.3M Sep 20 2018 libopencv_ximgproc.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_ximgproc.so -> libopencv_ximgproc.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_ximgproc.so.3.2 -> libopencv_ximgproc.so.3.2.0 -rw-r--r-- 1 root root 983K Sep 20 2018 libopencv_ximgproc.so.3.2.0 -rw-r--r-- 1 root root 186K Sep 20 2018 libopencv_xobjdetect.a lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_xobjdetect.so -> libopencv_xobjdetect.so.3.2 lrwxrwxrwx 1 root root 29 Sep 20 2018 libopencv_xobjdetect.so.3.2 -> libopencv_xobjdetect.so.3.2.0 -rw-r--r-- 1 root root 87K Sep 20 2018 libopencv_xobjdetect.so.3.2.0 -rw-r--r-- 1 root root 441K Sep 20 2018 libopencv_xphoto.a lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_xphoto.so -> libopencv_xphoto.so.3.2 lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_xphoto.so.3.2 -> libopencv_xphoto.so.3.2.0 -rw-r--r-- 1 root root 220K Sep 20 2018 libopencv_xphoto.so.3.2.0 -rw-r--r-- 1 root root 343K Aug 20 2019 libopenjp2.so.2.3.0 lrwxrwxrwx 1 root root 19 Aug 20 2019 libopenjp2.so.7 -> libopenjp2.so.2.3.0 lrwxrwxrwx 1 root root 19 Feb 4 2018 libopenmpt.so.0 -> libopenmpt.so.0.1.1 -rw-r--r-- 1 root root 1.5M Feb 4 2018 libopenmpt.so.0.1.1 lrwxrwxrwx 1 root root 16 Feb 17 2016 libopus.so.0 -> libopus.so.0.5.2 -rw-r--r-- 1 root root 295K Feb 17 2016 libopus.so.0.5.2 lrwxrwxrwx 1 root root 32 Feb 5 2018 liboshmem.so.20 -> openmpi/lib/liboshmem.so.20.10.1 lrwxrwxrwx 1 root root 19 Jan 4 2021 libp11-kit.so.0 -> libp11-kit.so.0.3.0 -rw-r--r-- 1 root root 1.2M Jan 4 2021 libp11-kit.so.0.3.0 lrwxrwxrwx 1 root root 15 May 23 2018 libpanel.so.5 -> libpanel.so.5.9 -rw-r--r-- 1 root root 14K May 23 2018 libpanel.so.5.9 lrwxrwxrwx 1 root root 16 May 23 2018 libpanelw.so.5 -> libpanelw.so.5.9 -rw-r--r-- 1 root root 14K May 23 2018 libpanelw.so.5.9 lrwxrwxrwx 1 root root 25 Aug 21 2018 libpango-1.0.so.0 -> libpango-1.0.so.0.4000.14 -rw-r--r-- 1 root root 306K Aug 21 2018 libpango-1.0.so.0.4000.14 lrwxrwxrwx 1 root root 30 Aug 21 2018 libpangocairo-1.0.so.0 -> libpangocairo-1.0.so.0.4000.14 -rw-r--r-- 1 root root 50K Aug 21 2018 libpangocairo-1.0.so.0.4000.14 lrwxrwxrwx 1 root root 28 Aug 21 2018 libpangoft2-1.0.so.0 -> libpangoft2-1.0.so.0.4000.14 -rw-r--r-- 1 root root 86K Aug 21 2018 libpangoft2-1.0.so.0.4000.14 lrwxrwxrwx 1 root root 20 Mar 24 2018 libpathplan.so -> libpathplan.so.4.0.0 lrwxrwxrwx 1 root root 20 Mar 24 2018 libpathplan.so.4 -> libpathplan.so.4.0.0 -rw-r--r-- 1 root root 31K Mar 24 2018 libpathplan.so.4.0.0 lrwxrwxrwx 1 root root 22 Mar 18 2018 libpciaccess.so.0 -> libpciaccess.so.0.11.1 -rw-r--r-- 1 root root 35K Mar 18 2018 libpciaccess.so.0.11.1 -rw-r--r-- 1 root root 615K May 17 07:42 libpcre.a lrwxrwxrwx 1 root root 34 May 17 07:42 libpcre.so -> /lib/x86_64-linux-gnu/libpcre.so.3 -rw-r--r-- 1 root root 576K May 17 07:42 libpcre16.a lrwxrwxrwx 1 root root 19 May 17 07:42 libpcre16.so -> libpcre16.so.3.13.3 lrwxrwxrwx 1 root root 19 May 17 07:42 libpcre16.so.3 -> libpcre16.so.3.13.3 -rw-r--r-- 1 root root 410K May 17 07:42 libpcre16.so.3.13.3 -rw-r--r-- 1 root root 558K May 17 07:42 libpcre32.a lrwxrwxrwx 1 root root 19 May 17 07:42 libpcre32.so -> libpcre32.so.3.13.3 lrwxrwxrwx 1 root root 19 May 17 07:42 libpcre32.so.3 -> libpcre32.so.3.13.3 -rw-r--r-- 1 root root 390K May 17 07:42 libpcre32.so.3.13.3 -rw-r--r-- 1 root root 51K May 17 07:42 libpcrecpp.a lrwxrwxrwx 1 root root 19 May 17 07:42 libpcrecpp.so -> libpcrecpp.so.0.0.1 lrwxrwxrwx 1 root root 19 May 17 07:42 libpcrecpp.so.0 -> libpcrecpp.so.0.0.1 -rw-r--r-- 1 root root 34K May 17 07:42 libpcrecpp.so.0.0.1 -rw-r--r-- 1 root root 6.6K May 17 07:42 libpcreposix.a lrwxrwxrwx 1 root root 22 May 17 07:42 libpcreposix.so -> libpcreposix.so.3.13.3 lrwxrwxrwx 1 root root 22 May 17 07:42 libpcreposix.so.3 -> libpcreposix.so.3.13.3 -rw-r--r-- 1 root root 9.9K May 17 07:42 libpcreposix.so.3.13.3 lrwxrwxrwx 1 root root 17 Oct 19 2020 libperl.so.5.26 -> libperl.so.5.26.1 -rw-r--r-- 1 root root 2.0M Oct 19 2020 libperl.so.5.26.1 lrwxrwxrwx 1 root root 21 Dec 17 2017 libpixman-1.so.0 -> libpixman-1.so.0.34.0 -rw-r--r-- 1 root root 659K Dec 17 2017 libpixman-1.so.0.34.0 -rw-r--r-- 1 root root 19K Feb 22 2018 libplc4.so -rw-r--r-- 1 root root 15K Feb 22 2018 libplds4.so lrwxrwxrwx 1 root root 10 Apr 30 2019 libpng.a -> libpng16.a lrwxrwxrwx 1 root root 11 Apr 30 2019 libpng.so -> libpng16.so -rw-r--r-- 1 root root 328K Apr 30 2019 libpng16.a lrwxrwxrwx 1 root root 19 Apr 30 2019 libpng16.so -> libpng16.so.16.34.0 lrwxrwxrwx 1 root root 19 Apr 30 2019 libpng16.so.16 -> libpng16.so.16.34.0 -rw-r--r-- 1 root root 198K Apr 30 2019 libpng16.so.16.34.0 lrwxrwxrwx 1 root root 20 Nov 26 2020 libpoppler.so.73 -> libpoppler.so.73.0.0 -rw-r--r-- 1 root root 2.6M Nov 26 2020 libpoppler.so.73.0.0 lrwxrwxrwx 1 root root 13 May 18 01:58 libpq.so.5 -> libpq.so.5.10 -rw-r--r-- 1 root root 290K May 18 01:58 libpq.so.5.10 lrwxrwxrwx 1 root root 17 Jun 18 2017 libproj.so.12 -> libproj.so.12.0.0 -rw-r--r-- 1 root root 420K Jun 18 2017 libproj.so.12.0.0 lrwxrwxrwx 1 root root 17 Dec 8 2020 libproxy.so.1 -> libproxy.so.1.0.0 -rw-r--r-- 1 root root 123K Dec 8 2020 libproxy.so.1.0.0 lrwxrwxrwx 1 root root 15 Mar 4 2018 libpsl.so.5 -> libpsl.so.5.2.0 -rw-r--r-- 1 root root 54K Mar 4 2018 libpsl.so.5.2.0 lrwxrwxrwx 1 root root 40 Aug 16 08:41 libpsm_infinipath.so.1 -> /etc/alternatives/libpsm_infinipath.so.1 -rw-r--r-- 1 root root 6.0M May 3 10:19 libpthread.a -rw-r--r-- 1 root root 252 May 3 10:19 libpthread.so -rw-r--r-- 1 root root 29K May 3 10:19 libpthread_nonshared.a lrwxrwxrwx 1 root root 19 Jul 1 15:56 libpython2.7.so.1 -> libpython2.7.so.1.0 -rw-r--r-- 1 root root 3.4M Jul 1 15:56 libpython2.7.so.1.0 lrwxrwxrwx 1 root root 17 Dec 9 2017 libqhull.so.7 -> libqhull.so.7.2.0 -rw-r--r-- 1 root root 358K Dec 9 2017 libqhull.so.7.2.0 lrwxrwxrwx 1 root root 20 Mar 10 2020 libquadmath.so.0 -> libquadmath.so.0.0.0 -rw-r--r-- 1 root root 256K Mar 10 2020 libquadmath.so.0.0.0 -rw-r--r-- 1 root root 91K Apr 26 2016 libraw1394.a -rw-r--r-- 1 root root 969 Apr 26 2016 libraw1394.la lrwxrwxrwx 1 root root 20 Apr 26 2016 libraw1394.so -> libraw1394.so.11.1.0 lrwxrwxrwx 1 root root 20 Apr 26 2016 libraw1394.so.11 -> libraw1394.so.11.1.0 -rw-r--r-- 1 root root 59K Apr 26 2016 libraw1394.so.11.1.0 lrwxrwxrwx 1 root root 21 Aug 5 2019 librdmacm.so.1 -> librdmacm.so.1.1.17.1 -rw-r--r-- 1 root root 87K Aug 5 2019 librdmacm.so.1.1.17.1 -rw-r--r-- 1 root root 136K May 3 10:19 libresolv.a lrwxrwxrwx 1 root root 36 May 3 10:19 libresolv.so -> /lib/x86_64-linux-gnu/libresolv.so.2 lrwxrwxrwx 1 root root 20 Oct 24 2016 librest-0.7.so.0 -> librest-0.7.so.0.0.0 -rw-r--r-- 1 root root 88K Oct 24 2016 librest-0.7.so.0.0.0 lrwxrwxrwx 1 root root 18 Dec 15 2017 libroken.so.18 -> libroken.so.18.1.0 -rw-r--r-- 1 root root 87K Dec 15 2017 libroken.so.18.1.0 -rw-r--r-- 1 root root 52K May 3 10:19 librpcsvc.a lrwxrwxrwx 1 root root 20 Jul 28 2020 librsvg-2.so.2 -> librsvg-2.so.2.40.20 -rw-r--r-- 1 root root 223K Jul 28 2020 librsvg-2.so.2.40.20 -rw-r--r-- 1 root root 76K May 3 10:19 librt.a lrwxrwxrwx 1 root root 32 May 3 10:19 librt.so -> /lib/x86_64-linux-gnu/librt.so.1 -rw-r--r-- 1 root root 111K Apr 27 2016 librtmp.so.1 lrwxrwxrwx 1 root root 18 Feb 15 2022 libsasl2.so.2 -> libsasl2.so.2.0.25 -rw-r--r-- 1 root root 107K Feb 15 2022 libsasl2.so.2.0.25 -rw-r--r-- 1 root root 251K Mar 1 2018 libsemanage.so.1 lrwxrwxrwx 1 root root 19 Mar 31 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 181K Jul 6 11:25 libsmime3.so lrwxrwxrwx 1 root root 18 Sep 5 2017 libsnappy.so.1 -> libsnappy.so.1.1.7 -rw-r--r-- 1 root root 31K Sep 5 2017 libsnappy.so.1.1.7 lrwxrwxrwx 1 root root 20 Oct 5 2017 libsocket++.so.1 -> libsocket++.so.1.0.2 -rw-r--r-- 1 root root 132K Oct 5 2017 libsocket++.so.1.0.2 lrwxrwxrwx 1 root root 20 Oct 9 2019 libsoup-2.4.so.1 -> libsoup-2.4.so.1.8.0 -rw-r--r-- 1 root root 971K Oct 9 2019 libsoup-2.4.so.1.8.0 lrwxrwxrwx 1 root root 26 Oct 9 2019 libsoup-gnome-2.4.so.1 -> libsoup-gnome-2.4.so.1.8.0 -rw-r--r-- 1 root root 9.9K Oct 9 2019 libsoup-gnome-2.4.so.1.8.0 lrwxrwxrwx 1 root root 16 Nov 4 2017 libsoxr.so.0 -> libsoxr.so.0.1.1 -rw-r--r-- 1 root root 183K Nov 4 2017 libsoxr.so.0.1.1 lrwxrwxrwx 1 root root 22 Nov 17 2016 libspatialite.so.7 -> libspatialite.so.7.1.0 -rw-r--r-- 1 root root 5.6M Nov 17 2016 libspatialite.so.7.1.0 lrwxrwxrwx 1 root root 17 Feb 8 2022 libspeex.so.1 -> libspeex.so.1.5.0 -rw-r--r-- 1 root root 102K Feb 8 2022 libspeex.so.1.5.0 lrwxrwxrwx 1 root root 19 Apr 28 14:04 libsqlite3.so.0 -> libsqlite3.so.0.8.6 -rw-r--r-- 1 root root 1.1M Apr 28 14:04 libsqlite3.so.0.8.6 lrwxrwxrwx 1 root root 22 Jul 31 2020 libssh-gcrypt.so.4 -> libssh-gcrypt.so.4.5.0 -rw-r--r-- 1 root root 465K Jul 31 2020 libssh-gcrypt.so.4.5.0 lrwxrwxrwx 1 root root 30 Jul 31 2020 libssh-gcrypt_threads.so.4 -> libssh-gcrypt_threads.so.4.5.0 -rw-r--r-- 1 root root 6.0K Jul 31 2020 libssh-gcrypt_threads.so.4.5.0 -rw-r--r-- 1 root root 564K Jul 4 11:25 libssl.so.1.1 -rw-r--r-- 1 root root 321K Jul 6 11:25 libssl3.so lrwxrwxrwx 1 root root 19 Mar 10 2020 libstdc++.so.6 -> libstdc++.so.6.0.25 -rw-r--r-- 1 root root 1.6M Mar 10 2020 libstdc++.so.6.0.25 lrwxrwxrwx 1 root root 19 Nov 6 2017 libsuperlu.so.5 -> libsuperlu.so.5.2.1 -rw-r--r-- 1 root root 447K Nov 6 2017 libsuperlu.so.5.2.1 -rw-r--r-- 1 root root 220K May 18 20:01 libswresample.a lrwxrwxrwx 1 root root 24 May 18 20:01 libswresample.so -> libswresample.so.2.9.100 lrwxrwxrwx 1 root root 24 May 18 20:01 libswresample.so.2 -> libswresample.so.2.9.100 -rw-r--r-- 1 root root 122K May 18 20:01 libswresample.so.2.9.100 -rw-r--r-- 1 root root 780K May 18 20:01 libswscale.a lrwxrwxrwx 1 root root 21 May 18 20:01 libswscale.so -> libswscale.so.4.8.100 lrwxrwxrwx 1 root root 21 May 18 20:01 libswscale.so.4 -> libswscale.so.4.8.100 -rw-r--r-- 1 root root 538K May 18 20:01 libswscale.so.4.8.100 lrwxrwxrwx 1 root root 14 Jul 28 2017 libsz.so.2 -> libsz.so.2.0.1 -rw-r--r-- 1 root root 9.9K Jul 28 2017 libsz.so.2.0.1 lrwxrwxrwx 1 root root 17 Jan 21 2018 libtasn1.so.6 -> libtasn1.so.6.5.5 -rw-r--r-- 1 root root 74K Jan 21 2018 libtasn1.so.6.5.5 lrwxrwxrwx 1 root root 11 Oct 4 2017 libtbb.so -> libtbb.so.2 -rw-r--r-- 1 root root 230K Oct 4 2017 libtbb.so.2 lrwxrwxrwx 1 root root 17 Oct 4 2017 libtbbmalloc.so -> libtbbmalloc.so.2 -rw-r--r-- 1 root root 110K Oct 4 2017 libtbbmalloc.so.2 lrwxrwxrwx 1 root root 23 Oct 4 2017 libtbbmalloc_proxy.so -> libtbbmalloc_proxy.so.2 -rw-r--r-- 1 root root 11K Oct 4 2017 libtbbmalloc_proxy.so.2 -rw-r--r-- 1 root root 1.7M Feb 22 2018 libtcl8.6.so lrwxrwxrwx 1 root root 12 Feb 22 2018 libtcl8.6.so.0 -> libtcl8.6.so lrwxrwxrwx 1 root root 21 Apr 7 2018 libtesseract.so.4 -> libtesseract.so.4.0.0 -rw-r--r-- 1 root root 3.1M Apr 7 2018 libtesseract.so.4.0.0 lrwxrwxrwx 1 root root 16 Feb 16 2018 libthai.so.0 -> libthai.so.0.3.0 -rw-r--r-- 1 root root 37K Feb 16 2018 libthai.so.0.3.0 lrwxrwxrwx 1 root root 19 May 27 2016 libtheora.so.0 -> libtheora.so.0.3.10 -rw-r--r-- 1 root root 327K May 27 2016 libtheora.so.0.3.10 lrwxrwxrwx 1 root root 21 May 27 2016 libtheoradec.so.1 -> libtheoradec.so.1.1.4 -rw-r--r-- 1 root root 119K May 27 2016 libtheoradec.so.1.1.4 lrwxrwxrwx 1 root root 21 May 27 2016 libtheoraenc.so.1 -> libtheoraenc.so.1.1.2 -rw-r--r-- 1 root root 251K May 27 2016 libtheoraenc.so.1.1.2 lrwxrwxrwx 1 root root 39 May 3 10:19 libthread_db.so -> /lib/x86_64-linux-gnu/libthread_db.so.1 lrwxrwxrwx 1 root root 13 May 23 2018 libtic.so.5 -> libtic.so.5.9 -rw-r--r-- 1 root root 62K May 23 2018 libtic.so.5.9 -rw-r--r-- 1 root root 752K May 11 15:09 libtiff.a lrwxrwxrwx 1 root root 16 May 11 15:09 libtiff.so -> libtiff.so.5.3.0 lrwxrwxrwx 1 root root 16 May 11 15:09 libtiff.so.5 -> libtiff.so.5.3.0 -rw-r--r-- 1 root root 479K May 11 15:09 libtiff.so.5.3.0 -rw-r--r-- 1 root root 8.5K May 11 15:09 libtiffxx.a lrwxrwxrwx 1 root root 18 May 11 15:09 libtiffxx.so -> libtiffxx.so.5.3.0 lrwxrwxrwx 1 root root 18 May 11 15:09 libtiffxx.so.5 -> libtiffxx.so.5.3.0 -rw-r--r-- 1 root root 10K May 11 15:09 libtiffxx.so.5.3.0 -rw-r--r-- 1 root root 1.4M Mar 24 2018 libtk8.6.so lrwxrwxrwx 1 root root 11 Mar 24 2018 libtk8.6.so.0 -> libtk8.6.so lrwxrwxrwx 1 root root 16 Mar 10 2020 libtsan.so.0 -> libtsan.so.0.0.0 -rw-r--r-- 1 root root 942K Mar 10 2020 libtsan.so.0.0.0 -rw-r--r-- 1 root root 3.6K Mar 10 2020 libtsan_preinit.o lrwxrwxrwx 1 root root 19 Aug 29 2017 libtwolame.so.0 -> libtwolame.so.0.0.0 -rw-r--r-- 1 root root 122K Aug 29 2017 libtwolame.so.0.0.0 lrwxrwxrwx 1 root root 17 Dec 4 2019 libubsan.so.0 -> libubsan.so.0.0.0 -rw-r--r-- 1 root root 322K Dec 4 2019 libubsan.so.0.0.0 lrwxrwxrwx 1 root root 21 Mar 21 2019 libunistring.so.2 -> libunistring.so.2.1.0 -rw-r--r-- 1 root root 1.5M Mar 21 2019 libunistring.so.2.1.0 lrwxrwxrwx 1 root root 22 Jul 12 13:52 liburiparser.so.1 -> liburiparser.so.1.0.20 -rw-r--r-- 1 root root 110K Jul 12 13:52 liburiparser.so.1.0.20 -rw-r--r-- 1 root root 15K May 3 10:19 libutil.a lrwxrwxrwx 1 root root 34 May 3 10:19 libutil.so -> /lib/x86_64-linux-gnu/libutil.so.1 lrwxrwxrwx 1 root root 20 Apr 3 2018 libva-drm.so.2 -> libva-drm.so.2.100.0 -rw-r--r-- 1 root root 11K Apr 3 2018 libva-drm.so.2.100.0 lrwxrwxrwx 1 root root 20 Apr 3 2018 libva-x11.so.2 -> libva-x11.so.2.100.0 -rw-r--r-- 1 root root 23K Apr 3 2018 libva-x11.so.2.100.0 lrwxrwxrwx 1 root root 16 Apr 3 2018 libva.so.2 -> libva.so.2.100.0 -rw-r--r-- 1 root root 131K Apr 3 2018 libva.so.2.100.0 lrwxrwxrwx 1 root root 17 Feb 19 2016 libvdpau.so.1 -> libvdpau.so.1.0.0 -rw-r--r-- 1 root root 15K Feb 19 2016 libvdpau.so.1.0.0 lrwxrwxrwx 1 root root 18 Mar 16 2018 libvorbis.so.0 -> libvorbis.so.0.4.8 -rw-r--r-- 1 root root 171K Mar 16 2018 libvorbis.so.0.4.8 lrwxrwxrwx 1 root root 22 Mar 16 2018 libvorbisenc.so.2 -> libvorbisenc.so.2.0.11 -rw-r--r-- 1 root root 675K Mar 16 2018 libvorbisenc.so.2.0.11 lrwxrwxrwx 1 root root 22 Mar 16 2018 libvorbisfile.so.3 -> libvorbisfile.so.3.3.7 -rw-r--r-- 1 root root 31K Mar 16 2018 libvorbisfile.so.3.3.7 lrwxrwxrwx 1 root root 15 Nov 19 2019 libvpx.so.5 -> libvpx.so.5.0.0 lrwxrwxrwx 1 root root 15 Nov 19 2019 libvpx.so.5.0 -> libvpx.so.5.0.0 -rw-r--r-- 1 root root 2.3M Nov 19 2019 libvpx.so.5.0.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkChartsCore-6.3.so.6.3 -> libvtkChartsCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.4M Dec 17 2017 libvtkChartsCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkChartsCorePython27D-6.3.so.6.3 -> libvtkChartsCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 939K Dec 17 2017 libvtkChartsCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkChartsCoreTCL-6.3.so.6.3 -> libvtkChartsCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 573K Dec 17 2017 libvtkChartsCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkCommonColor-6.3.so.6.3 -> libvtkCommonColor-6.3.so.6.3.0 -rw-r--r-- 1 root root 106K Dec 17 2017 libvtkCommonColor-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkCommonColorPython27D-6.3.so.6.3 -> libvtkCommonColorPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 70K Dec 17 2017 libvtkCommonColorPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkCommonColorTCL-6.3.so.6.3 -> libvtkCommonColorTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkCommonColorTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkCommonComputationalGeometry-6.3.so.6.3 -> libvtkCommonComputationalGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 240K Dec 17 2017 libvtkCommonComputationalGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 55 Dec 17 2017 libvtkCommonComputationalGeometryPython27D-6.3.so.6.3 -> libvtkCommonComputationalGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 423K Dec 17 2017 libvtkCommonComputationalGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 49 Dec 17 2017 libvtkCommonComputationalGeometryTCL-6.3.so.6.3 -> libvtkCommonComputationalGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 259K Dec 17 2017 libvtkCommonComputationalGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkCommonCore-6.3.so.6.3 -> libvtkCommonCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.2M Dec 17 2017 libvtkCommonCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonCorePython27D-6.3.so.6.3 -> libvtkCommonCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.0M Dec 17 2017 libvtkCommonCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkCommonCoreTCL-6.3.so.6.3 -> libvtkCommonCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 900K Dec 17 2017 libvtkCommonCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkCommonDataModel-6.3.so.6.3 -> libvtkCommonDataModel-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.4M Dec 17 2017 libvtkCommonDataModel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkCommonDataModelPython27D-6.3.so.6.3 -> libvtkCommonDataModelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 4.2M Dec 17 2017 libvtkCommonDataModelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkCommonDataModelTCL-6.3.so.6.3 -> libvtkCommonDataModelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.2M Dec 17 2017 libvtkCommonDataModelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkCommonExecutionModel-6.3.so.6.3 -> libvtkCommonExecutionModel-6.3.so.6.3.0 -rw-r--r-- 1 root root 669K Dec 17 2017 libvtkCommonExecutionModel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 48 Dec 17 2017 libvtkCommonExecutionModelPython27D-6.3.so.6.3 -> libvtkCommonExecutionModelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 621K Dec 17 2017 libvtkCommonExecutionModelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkCommonExecutionModelTCL-6.3.so.6.3 -> libvtkCommonExecutionModelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 474K Dec 17 2017 libvtkCommonExecutionModelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkCommonMath-6.3.so.6.3 -> libvtkCommonMath-6.3.so.6.3.0 -rw-r--r-- 1 root root 128K Dec 17 2017 libvtkCommonMath-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonMathPython27D-6.3.so.6.3 -> libvtkCommonMathPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 347K Dec 17 2017 libvtkCommonMathPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkCommonMathTCL-6.3.so.6.3 -> libvtkCommonMathTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 103K Dec 17 2017 libvtkCommonMathTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkCommonMisc-6.3.so.6.3 -> libvtkCommonMisc-6.3.so.6.3.0 -rw-r--r-- 1 root root 88K Dec 17 2017 libvtkCommonMisc-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonMiscPython27D-6.3.so.6.3 -> libvtkCommonMiscPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 88K Dec 17 2017 libvtkCommonMiscPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkCommonMiscTCL-6.3.so.6.3 -> libvtkCommonMiscTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkCommonMiscTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkCommonSystem-6.3.so.6.3 -> libvtkCommonSystem-6.3.so.6.3.0 -rw-r--r-- 1 root root 76K Dec 17 2017 libvtkCommonSystem-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkCommonSystemPython27D-6.3.so.6.3 -> libvtkCommonSystemPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkCommonSystemPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkCommonSystemTCL-6.3.so.6.3 -> libvtkCommonSystemTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkCommonSystemTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkCommonTransforms-6.3.so.6.3 -> libvtkCommonTransforms-6.3.so.6.3.0 -rw-r--r-- 1 root root 184K Dec 17 2017 libvtkCommonTransforms-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkCommonTransformsPython27D-6.3.so.6.3 -> libvtkCommonTransformsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 263K Dec 17 2017 libvtkCommonTransformsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonTransformsTCL-6.3.so.6.3 -> libvtkCommonTransformsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 200K Dec 17 2017 libvtkCommonTransformsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkDICOMParser-6.3.so.6.3 -> libvtkDICOMParser-6.3.so.6.3.0 -rw-r--r-- 1 root root 96K Dec 17 2017 libvtkDICOMParser-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkDomainsChemistry-6.3.so.6.3 -> libvtkDomainsChemistry-6.3.so.6.3.0 -rw-r--r-- 1 root root 293K Dec 17 2017 libvtkDomainsChemistry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkDomainsChemistryPython27D-6.3.so.6.3 -> libvtkDomainsChemistryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 181K Dec 17 2017 libvtkDomainsChemistryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkDomainsChemistryTCL-6.3.so.6.3 -> libvtkDomainsChemistryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 127K Dec 17 2017 libvtkDomainsChemistryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkFiltersAMR-6.3.so.6.3 -> libvtkFiltersAMR-6.3.so.6.3.0 -rw-r--r-- 1 root root 273K Dec 17 2017 libvtkFiltersAMR-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersAMRPython27D-6.3.so.6.3 -> libvtkFiltersAMRPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 183K Dec 17 2017 libvtkFiltersAMRPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersAMRTCL-6.3.so.6.3 -> libvtkFiltersAMRTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkFiltersAMRTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkFiltersCore-6.3.so.6.3 -> libvtkFiltersCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 4.9M Dec 17 2017 libvtkFiltersCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkFiltersCorePython27D-6.3.so.6.3 -> libvtkFiltersCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.6M Dec 17 2017 libvtkFiltersCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersCoreTCL-6.3.so.6.3 -> libvtkFiltersCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.5M Dec 17 2017 libvtkFiltersCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersExtraction-6.3.so.6.3 -> libvtkFiltersExtraction-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkFiltersExtraction-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkFiltersExtractionPython27D-6.3.so.6.3 -> libvtkFiltersExtractionPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 497K Dec 17 2017 libvtkFiltersExtractionPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkFiltersExtractionTCL-6.3.so.6.3 -> libvtkFiltersExtractionTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 360K Dec 17 2017 libvtkFiltersExtractionTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersFlowPaths-6.3.so.6.3 -> libvtkFiltersFlowPaths-6.3.so.6.3.0 -rw-r--r-- 1 root root 473K Dec 17 2017 libvtkFiltersFlowPaths-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersFlowPathsPython27D-6.3.so.6.3 -> libvtkFiltersFlowPathsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 495K Dec 17 2017 libvtkFiltersFlowPathsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersFlowPathsTCL-6.3.so.6.3 -> libvtkFiltersFlowPathsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 264K Dec 17 2017 libvtkFiltersFlowPathsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersGeneral-6.3.so.6.3 -> libvtkFiltersGeneral-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.2M Dec 17 2017 libvtkFiltersGeneral-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersGeneralPython27D-6.3.so.6.3 -> libvtkFiltersGeneralPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.2M Dec 17 2017 libvtkFiltersGeneralPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersGeneralTCL-6.3.so.6.3 -> libvtkFiltersGeneralTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.5M Dec 17 2017 libvtkFiltersGeneralTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersGeneric-6.3.so.6.3 -> libvtkFiltersGeneric-6.3.so.6.3.0 -rw-r--r-- 1 root root 296K Dec 17 2017 libvtkFiltersGeneric-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersGenericPython27D-6.3.so.6.3 -> libvtkFiltersGenericPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 391K Dec 17 2017 libvtkFiltersGenericPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersGenericTCL-6.3.so.6.3 -> libvtkFiltersGenericTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 220K Dec 17 2017 libvtkFiltersGenericTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkFiltersGeometry-6.3.so.6.3 -> libvtkFiltersGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 546K Dec 17 2017 libvtkFiltersGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersGeometryPython27D-6.3.so.6.3 -> libvtkFiltersGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 423K Dec 17 2017 libvtkFiltersGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersGeometryTCL-6.3.so.6.3 -> libvtkFiltersGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 280K Dec 17 2017 libvtkFiltersGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersHybrid-6.3.so.6.3 -> libvtkFiltersHybrid-6.3.so.6.3.0 -rw-r--r-- 1 root root 867K Dec 17 2017 libvtkFiltersHybrid-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersHybridPython27D-6.3.so.6.3 -> libvtkFiltersHybridPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 701K Dec 17 2017 libvtkFiltersHybridPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersHybridTCL-6.3.so.6.3 -> libvtkFiltersHybridTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 432K Dec 17 2017 libvtkFiltersHybridTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersHyperTree-6.3.so.6.3 -> libvtkFiltersHyperTree-6.3.so.6.3.0 -rw-r--r-- 1 root root 297K Dec 17 2017 libvtkFiltersHyperTree-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersHyperTreePython27D-6.3.so.6.3 -> libvtkFiltersHyperTreePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 218K Dec 17 2017 libvtkFiltersHyperTreePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersHyperTreeTCL-6.3.so.6.3 -> libvtkFiltersHyperTreeTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 163K Dec 17 2017 libvtkFiltersHyperTreeTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersImaging-6.3.so.6.3 -> libvtkFiltersImaging-6.3.so.6.3.0 -rw-r--r-- 1 root root 136K Dec 17 2017 libvtkFiltersImaging-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersImagingPython27D-6.3.so.6.3 -> libvtkFiltersImagingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 111K Dec 17 2017 libvtkFiltersImagingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersImagingTCL-6.3.so.6.3 -> libvtkFiltersImagingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkFiltersImagingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkFiltersModeling-6.3.so.6.3 -> libvtkFiltersModeling-6.3.so.6.3.0 -rw-r--r-- 1 root root 481K Dec 17 2017 libvtkFiltersModeling-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersModelingPython27D-6.3.so.6.3 -> libvtkFiltersModelingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 607K Dec 17 2017 libvtkFiltersModelingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersModelingTCL-6.3.so.6.3 -> libvtkFiltersModelingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 388K Dec 17 2017 libvtkFiltersModelingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkFiltersParallel-6.3.so.6.3 -> libvtkFiltersParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 860K Dec 17 2017 libvtkFiltersParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersParallelFlowPaths-6.3.so.6.3 -> libvtkFiltersParallelFlowPaths-6.3.so.6.3.0 -rw-r--r-- 1 root root 232K Dec 17 2017 libvtkFiltersParallelFlowPaths-6.3.so.6.3.0 lrwxrwxrwx 1 root root 52 Dec 17 2017 libvtkFiltersParallelFlowPathsPython27D-6.3.so.6.3 -> libvtkFiltersParallelFlowPathsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 40K Dec 17 2017 libvtkFiltersParallelFlowPathsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkFiltersParallelFlowPathsTCL-6.3.so.6.3 -> libvtkFiltersParallelFlowPathsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkFiltersParallelFlowPathsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersParallelGeometry-6.3.so.6.3 -> libvtkFiltersParallelGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 265K Dec 17 2017 libvtkFiltersParallelGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 51 Dec 17 2017 libvtkFiltersParallelGeometryPython27D-6.3.so.6.3 -> libvtkFiltersParallelGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 65K Dec 17 2017 libvtkFiltersParallelGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkFiltersParallelGeometryTCL-6.3.so.6.3 -> libvtkFiltersParallelGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 55K Dec 17 2017 libvtkFiltersParallelGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersParallelImaging-6.3.so.6.3 -> libvtkFiltersParallelImaging-6.3.so.6.3.0 -rw-r--r-- 1 root root 140K Dec 17 2017 libvtkFiltersParallelImaging-6.3.so.6.3.0 lrwxrwxrwx 1 root root 50 Dec 17 2017 libvtkFiltersParallelImagingPython27D-6.3.so.6.3 -> libvtkFiltersParallelImagingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 45K Dec 17 2017 libvtkFiltersParallelImagingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersParallelImagingTCL-6.3.so.6.3 -> libvtkFiltersParallelImagingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkFiltersParallelImagingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersParallelMPI-6.3.so.6.3 -> libvtkFiltersParallelMPI-6.3.so.6.3.0 -rw-r--r-- 1 root root 237K Dec 17 2017 libvtkFiltersParallelMPI-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkFiltersParallelMPIPython27D-6.3.so.6.3 -> libvtkFiltersParallelMPIPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 94K Dec 17 2017 libvtkFiltersParallelMPIPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkFiltersParallelMPITCL-6.3.so.6.3 -> libvtkFiltersParallelMPITCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkFiltersParallelMPITCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersParallelPython27D-6.3.so.6.3 -> libvtkFiltersParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 484K Dec 17 2017 libvtkFiltersParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersParallelStatistics-6.3.so.6.3 -> libvtkFiltersParallelStatistics-6.3.so.6.3.0 -rw-r--r-- 1 root root 220K Dec 17 2017 libvtkFiltersParallelStatistics-6.3.so.6.3.0 lrwxrwxrwx 1 root root 53 Dec 17 2017 libvtkFiltersParallelStatisticsPython27D-6.3.so.6.3 -> libvtkFiltersParallelStatisticsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 74K Dec 17 2017 libvtkFiltersParallelStatisticsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkFiltersParallelStatisticsTCL-6.3.so.6.3 -> libvtkFiltersParallelStatisticsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkFiltersParallelStatisticsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersParallelTCL-6.3.so.6.3 -> libvtkFiltersParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 380K Dec 17 2017 libvtkFiltersParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersProgrammable-6.3.so.6.3 -> libvtkFiltersProgrammable-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkFiltersProgrammable-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkFiltersProgrammablePython27D-6.3.so.6.3 -> libvtkFiltersProgrammablePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 61K Dec 17 2017 libvtkFiltersProgrammablePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersProgrammableTCL-6.3.so.6.3 -> libvtkFiltersProgrammableTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkFiltersProgrammableTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersPython-6.3.so.6.3 -> libvtkFiltersPython-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkFiltersPython-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersPythonPython27D-6.3.so.6.3 -> libvtkFiltersPythonPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkFiltersPythonPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersReebGraph-6.3.so.6.3 -> libvtkFiltersReebGraph-6.3.so.6.3.0 -rw-r--r-- 1 root root 108K Dec 17 2017 libvtkFiltersReebGraph-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersReebGraphPython27D-6.3.so.6.3 -> libvtkFiltersReebGraphPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkFiltersReebGraphPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersReebGraphTCL-6.3.so.6.3 -> libvtkFiltersReebGraphTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkFiltersReebGraphTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkFiltersSMP-6.3.so.6.3 -> libvtkFiltersSMP-6.3.so.6.3.0 -rw-r--r-- 1 root root 407K Dec 17 2017 libvtkFiltersSMP-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersSMPPython27D-6.3.so.6.3 -> libvtkFiltersSMPPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 110K Dec 17 2017 libvtkFiltersSMPPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersSMPTCL-6.3.so.6.3 -> libvtkFiltersSMPTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkFiltersSMPTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersSelection-6.3.so.6.3 -> libvtkFiltersSelection-6.3.so.6.3.0 -rw-r--r-- 1 root root 100K Dec 17 2017 libvtkFiltersSelection-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersSelectionPython27D-6.3.so.6.3 -> libvtkFiltersSelectionPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 109K Dec 17 2017 libvtkFiltersSelectionPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersSelectionTCL-6.3.so.6.3 -> libvtkFiltersSelectionTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 83K Dec 17 2017 libvtkFiltersSelectionTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersSources-6.3.so.6.3 -> libvtkFiltersSources-6.3.so.6.3.0 -rw-r--r-- 1 root root 773K Dec 17 2017 libvtkFiltersSources-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersSourcesPython27D-6.3.so.6.3 -> libvtkFiltersSourcesPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.2M Dec 17 2017 libvtkFiltersSourcesPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersSourcesTCL-6.3.so.6.3 -> libvtkFiltersSourcesTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 760K Dec 17 2017 libvtkFiltersSourcesTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersStatistics-6.3.so.6.3 -> libvtkFiltersStatistics-6.3.so.6.3.0 -rw-r--r-- 1 root root 549K Dec 17 2017 libvtkFiltersStatistics-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkFiltersStatisticsPython27D-6.3.so.6.3 -> libvtkFiltersStatisticsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 341K Dec 17 2017 libvtkFiltersStatisticsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkFiltersStatisticsTCL-6.3.so.6.3 -> libvtkFiltersStatisticsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 224K Dec 17 2017 libvtkFiltersStatisticsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersTexture-6.3.so.6.3 -> libvtkFiltersTexture-6.3.so.6.3.0 -rw-r--r-- 1 root root 151K Dec 17 2017 libvtkFiltersTexture-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersTexturePython27D-6.3.so.6.3 -> libvtkFiltersTexturePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 219K Dec 17 2017 libvtkFiltersTexturePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersTextureTCL-6.3.so.6.3 -> libvtkFiltersTextureTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 167K Dec 17 2017 libvtkFiltersTextureTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersVerdict-6.3.so.6.3 -> libvtkFiltersVerdict-6.3.so.6.3.0 -rw-r--r-- 1 root root 124K Dec 17 2017 libvtkFiltersVerdict-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersVerdictPython27D-6.3.so.6.3 -> libvtkFiltersVerdictPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 267K Dec 17 2017 libvtkFiltersVerdictPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersVerdictTCL-6.3.so.6.3 -> libvtkFiltersVerdictTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 156K Dec 17 2017 libvtkFiltersVerdictTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkGeovisCore-6.3.so.6.3 -> libvtkGeovisCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 707K Dec 17 2017 libvtkGeovisCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkGeovisCorePython27D-6.3.so.6.3 -> libvtkGeovisCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 555K Dec 17 2017 libvtkGeovisCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkGeovisCoreTCL-6.3.so.6.3 -> libvtkGeovisCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 392K Dec 17 2017 libvtkGeovisCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOAMR-6.3.so.6.3 -> libvtkIOAMR-6.3.so.6.3.0 -rw-r--r-- 1 root root 282K Dec 17 2017 libvtkIOAMR-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOAMRPython27D-6.3.so.6.3 -> libvtkIOAMRPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 107K Dec 17 2017 libvtkIOAMRPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOAMRTCL-6.3.so.6.3 -> libvtkIOAMRTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 91K Dec 17 2017 libvtkIOAMRTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOCore-6.3.so.6.3 -> libvtkIOCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 458K Dec 17 2017 libvtkIOCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOCorePython27D-6.3.so.6.3 -> libvtkIOCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 322K Dec 17 2017 libvtkIOCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOCoreTCL-6.3.so.6.3 -> libvtkIOCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 240K Dec 17 2017 libvtkIOCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOEnSight-6.3.so.6.3 -> libvtkIOEnSight-6.3.so.6.3.0 -rw-r--r-- 1 root root 549K Dec 17 2017 libvtkIOEnSight-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkIOEnSightPython27D-6.3.so.6.3 -> libvtkIOEnSightPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 141K Dec 17 2017 libvtkIOEnSightPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOEnSightTCL-6.3.so.6.3 -> libvtkIOEnSightTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 95K Dec 17 2017 libvtkIOEnSightTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOExodus-6.3.so.6.3 -> libvtkIOExodus-6.3.so.6.3.0 -rw-r--r-- 1 root root 660K Dec 17 2017 libvtkIOExodus-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOExodusPython27D-6.3.so.6.3 -> libvtkIOExodusPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 385K Dec 17 2017 libvtkIOExodusPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOExodusTCL-6.3.so.6.3 -> libvtkIOExodusTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 220K Dec 17 2017 libvtkIOExodusTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOExport-6.3.so.6.3 -> libvtkIOExport-6.3.so.6.3.0 -rw-r--r-- 1 root root 513K Dec 17 2017 libvtkIOExport-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOExportPython27D-6.3.so.6.3 -> libvtkIOExportPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 288K Dec 17 2017 libvtkIOExportPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOExportTCL-6.3.so.6.3 -> libvtkIOExportTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 183K Dec 17 2017 libvtkIOExportTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOFFMPEG-6.3.so.6.3 -> libvtkIOFFMPEG-6.3.so.6.3.0 -rw-r--r-- 1 root root 55K Dec 17 2017 libvtkIOFFMPEG-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOFFMPEGPython27D-6.3.so.6.3 -> libvtkIOFFMPEGPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 44K Dec 17 2017 libvtkIOFFMPEGPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOFFMPEGTCL-6.3.so.6.3 -> libvtkIOFFMPEGTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 31K Dec 17 2017 libvtkIOFFMPEGTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOGDAL-6.3.so.6.3 -> libvtkIOGDAL-6.3.so.6.3.0 -rw-r--r-- 1 root root 152K Dec 17 2017 libvtkIOGDAL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOGDALPython27D-6.3.so.6.3 -> libvtkIOGDALPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 60K Dec 17 2017 libvtkIOGDALPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOGDALTCL-6.3.so.6.3 -> libvtkIOGDALTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkIOGDALTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOGeoJSON-6.3.so.6.3 -> libvtkIOGeoJSON-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkIOGeoJSON-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkIOGeoJSONPython27D-6.3.so.6.3 -> libvtkIOGeoJSONPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 40K Dec 17 2017 libvtkIOGeoJSONPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOGeoJSONTCL-6.3.so.6.3 -> libvtkIOGeoJSONTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkIOGeoJSONTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOGeometry-6.3.so.6.3 -> libvtkIOGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkIOGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOGeometryPython27D-6.3.so.6.3 -> libvtkIOGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 621K Dec 17 2017 libvtkIOGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOGeometryTCL-6.3.so.6.3 -> libvtkIOGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 400K Dec 17 2017 libvtkIOGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOImage-6.3.so.6.3 -> libvtkIOImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.6M Dec 17 2017 libvtkIOImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOImagePython27D-6.3.so.6.3 -> libvtkIOImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 900K Dec 17 2017 libvtkIOImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOImageTCL-6.3.so.6.3 -> libvtkIOImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 540K Dec 17 2017 libvtkIOImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOImport-6.3.so.6.3 -> libvtkIOImport-6.3.so.6.3.0 -rw-r--r-- 1 root root 276K Dec 17 2017 libvtkIOImport-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOImportPython27D-6.3.so.6.3 -> libvtkIOImportPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 57K Dec 17 2017 libvtkIOImportPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOImportTCL-6.3.so.6.3 -> libvtkIOImportTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkIOImportTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOInfovis-6.3.so.6.3 -> libvtkIOInfovis-6.3.so.6.3.0 -rw-r--r-- 1 root root 562K Dec 17 2017 libvtkIOInfovis-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkIOInfovisPython27D-6.3.so.6.3 -> libvtkIOInfovisPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 320K Dec 17 2017 libvtkIOInfovisPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOInfovisTCL-6.3.so.6.3 -> libvtkIOInfovisTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 212K Dec 17 2017 libvtkIOInfovisTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOLSDyna-6.3.so.6.3 -> libvtkIOLSDyna-6.3.so.6.3.0 -rw-r--r-- 1 root root 313K Dec 17 2017 libvtkIOLSDyna-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOLSDynaPython27D-6.3.so.6.3 -> libvtkIOLSDynaPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 130K Dec 17 2017 libvtkIOLSDynaPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOLSDynaTCL-6.3.so.6.3 -> libvtkIOLSDynaTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkIOLSDynaTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOLegacy-6.3.so.6.3 -> libvtkIOLegacy-6.3.so.6.3.0 -rw-r--r-- 1 root root 655K Dec 17 2017 libvtkIOLegacy-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOLegacyPython27D-6.3.so.6.3 -> libvtkIOLegacyPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 354K Dec 17 2017 libvtkIOLegacyPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOLegacyTCL-6.3.so.6.3 -> libvtkIOLegacyTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 240K Dec 17 2017 libvtkIOLegacyTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOMINC-6.3.so.6.3 -> libvtkIOMINC-6.3.so.6.3.0 -rw-r--r-- 1 root root 450K Dec 17 2017 libvtkIOMINC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOMINCPython27D-6.3.so.6.3 -> libvtkIOMINCPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 214K Dec 17 2017 libvtkIOMINCPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOMINCTCL-6.3.so.6.3 -> libvtkIOMINCTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 151K Dec 17 2017 libvtkIOMINCTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOMPIImage-6.3.so.6.3 -> libvtkIOMPIImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 161K Dec 17 2017 libvtkIOMPIImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOMPIImagePython27D-6.3.so.6.3 -> libvtkIOMPIImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 28K Dec 17 2017 libvtkIOMPIImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOMPIImageTCL-6.3.so.6.3 -> libvtkIOMPIImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkIOMPIImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOMPIParallel-6.3.so.6.3 -> libvtkIOMPIParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 217K Dec 17 2017 libvtkIOMPIParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkIOMPIParallelPython27D-6.3.so.6.3 -> libvtkIOMPIParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkIOMPIParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOMPIParallelTCL-6.3.so.6.3 -> libvtkIOMPIParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkIOMPIParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOMovie-6.3.so.6.3 -> libvtkIOMovie-6.3.so.6.3.0 -rw-r--r-- 1 root root 59K Dec 17 2017 libvtkIOMovie-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOMoviePython27D-6.3.so.6.3 -> libvtkIOMoviePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 49K Dec 17 2017 libvtkIOMoviePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOMovieTCL-6.3.so.6.3 -> libvtkIOMovieTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkIOMovieTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOMySQL-6.3.so.6.3 -> libvtkIOMySQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 144K Dec 17 2017 libvtkIOMySQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOMySQLPython27D-6.3.so.6.3 -> libvtkIOMySQLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 86K Dec 17 2017 libvtkIOMySQLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOMySQLTCL-6.3.so.6.3 -> libvtkIOMySQLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkIOMySQLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIONetCDF-6.3.so.6.3 -> libvtkIONetCDF-6.3.so.6.3.0 -rw-r--r-- 1 root root 410K Dec 17 2017 libvtkIONetCDF-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIONetCDFPython27D-6.3.so.6.3 -> libvtkIONetCDFPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 201K Dec 17 2017 libvtkIONetCDFPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIONetCDFTCL-6.3.so.6.3 -> libvtkIONetCDFTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkIONetCDFTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOODBC-6.3.so.6.3 -> libvtkIOODBC-6.3.so.6.3.0 -rw-r--r-- 1 root root 156K Dec 17 2017 libvtkIOODBC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOODBCPython27D-6.3.so.6.3 -> libvtkIOODBCPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 65K Dec 17 2017 libvtkIOODBCPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOODBCTCL-6.3.so.6.3 -> libvtkIOODBCTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkIOODBCTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOPLY-6.3.so.6.3 -> libvtkIOPLY-6.3.so.6.3.0 -rw-r--r-- 1 root root 97K Dec 17 2017 libvtkIOPLY-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOPLYPython27D-6.3.so.6.3 -> libvtkIOPLYPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkIOPLYPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOPLYTCL-6.3.so.6.3 -> libvtkIOPLYTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkIOPLYTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOParallel-6.3.so.6.3 -> libvtkIOParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 526K Dec 17 2017 libvtkIOParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelExodus-6.3.so.6.3 -> libvtkIOParallelExodus-6.3.so.6.3.0 -rw-r--r-- 1 root root 148K Dec 17 2017 libvtkIOParallelExodus-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkIOParallelExodusPython27D-6.3.so.6.3 -> libvtkIOParallelExodusPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 48K Dec 17 2017 libvtkIOParallelExodusPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelExodusTCL-6.3.so.6.3 -> libvtkIOParallelExodusTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkIOParallelExodusTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelLSDyna-6.3.so.6.3 -> libvtkIOParallelLSDyna-6.3.so.6.3.0 -rw-r--r-- 1 root root 55K Dec 17 2017 libvtkIOParallelLSDyna-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkIOParallelLSDynaPython27D-6.3.so.6.3 -> libvtkIOParallelLSDynaPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkIOParallelLSDynaPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelLSDynaTCL-6.3.so.6.3 -> libvtkIOParallelLSDynaTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkIOParallelLSDynaTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelNetCDF-6.3.so.6.3 -> libvtkIOParallelNetCDF-6.3.so.6.3.0 -rw-r--r-- 1 root root 113K Dec 17 2017 libvtkIOParallelNetCDF-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkIOParallelNetCDFPython27D-6.3.so.6.3 -> libvtkIOParallelNetCDFPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 32K Dec 17 2017 libvtkIOParallelNetCDFPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelNetCDFTCL-6.3.so.6.3 -> libvtkIOParallelNetCDFTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkIOParallelNetCDFTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelPython27D-6.3.so.6.3 -> libvtkIOParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 221K Dec 17 2017 libvtkIOParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOParallelTCL-6.3.so.6.3 -> libvtkIOParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkIOParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOParallelXML-6.3.so.6.3 -> libvtkIOParallelXML-6.3.so.6.3.0 -rw-r--r-- 1 root root 204K Dec 17 2017 libvtkIOParallelXML-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkIOParallelXMLPython27D-6.3.so.6.3 -> libvtkIOParallelXMLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 95K Dec 17 2017 libvtkIOParallelXMLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelXMLTCL-6.3.so.6.3 -> libvtkIOParallelXMLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkIOParallelXMLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOPostgreSQL-6.3.so.6.3 -> libvtkIOPostgreSQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 160K Dec 17 2017 libvtkIOPostgreSQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkIOPostgreSQLPython27D-6.3.so.6.3 -> libvtkIOPostgreSQLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkIOPostgreSQLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOPostgreSQLTCL-6.3.so.6.3 -> libvtkIOPostgreSQLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 59K Dec 17 2017 libvtkIOPostgreSQLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOSQL-6.3.so.6.3 -> libvtkIOSQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 277K Dec 17 2017 libvtkIOSQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOSQLPython27D-6.3.so.6.3 -> libvtkIOSQLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 202K Dec 17 2017 libvtkIOSQLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOSQLTCL-6.3.so.6.3 -> libvtkIOSQLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 148K Dec 17 2017 libvtkIOSQLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOVPIC-6.3.so.6.3 -> libvtkIOVPIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkIOVPIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOVPICPython27D-6.3.so.6.3 -> libvtkIOVPICPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 44K Dec 17 2017 libvtkIOVPICPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOVPICTCL-6.3.so.6.3 -> libvtkIOVPICTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkIOVPICTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOVideo-6.3.so.6.3 -> libvtkIOVideo-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkIOVideo-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOVideoPython27D-6.3.so.6.3 -> libvtkIOVideoPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 85K Dec 17 2017 libvtkIOVideoPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOVideoTCL-6.3.so.6.3 -> libvtkIOVideoTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkIOVideoTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOXML-6.3.so.6.3 -> libvtkIOXML-6.3.so.6.3.0 -rw-r--r-- 1 root root 945K Dec 17 2017 libvtkIOXML-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOXMLParser-6.3.so.6.3 -> libvtkIOXMLParser-6.3.so.6.3.0 -rw-r--r-- 1 root root 112K Dec 17 2017 libvtkIOXMLParser-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkIOXMLParserPython27D-6.3.so.6.3 -> libvtkIOXMLParserPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 69K Dec 17 2017 libvtkIOXMLParserPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOXMLParserTCL-6.3.so.6.3 -> libvtkIOXMLParserTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 51K Dec 17 2017 libvtkIOXMLParserTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOXMLPython27D-6.3.so.6.3 -> libvtkIOXMLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 375K Dec 17 2017 libvtkIOXMLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOXMLTCL-6.3.so.6.3 -> libvtkIOXMLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 304K Dec 17 2017 libvtkIOXMLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOXdmf2-6.3.so.6.3 -> libvtkIOXdmf2-6.3.so.6.3.0 -rw-r--r-- 1 root root 335K Dec 17 2017 libvtkIOXdmf2-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOXdmf2Python27D-6.3.so.6.3 -> libvtkIOXdmf2Python27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 93K Dec 17 2017 libvtkIOXdmf2Python27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOXdmfIITCL-6.3.so.6.3 -> libvtkIOXdmfIITCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkIOXdmfIITCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkImagingColor-6.3.so.6.3 -> libvtkImagingColor-6.3.so.6.3.0 -rw-r--r-- 1 root root 280K Dec 17 2017 libvtkImagingColor-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkImagingColorPython27D-6.3.so.6.3 -> libvtkImagingColorPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 85K Dec 17 2017 libvtkImagingColorPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkImagingColorTCL-6.3.so.6.3 -> libvtkImagingColorTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 75K Dec 17 2017 libvtkImagingColorTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkImagingCore-6.3.so.6.3 -> libvtkImagingCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.9M Dec 17 2017 libvtkImagingCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingCorePython27D-6.3.so.6.3 -> libvtkImagingCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 934K Dec 17 2017 libvtkImagingCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingCoreTCL-6.3.so.6.3 -> libvtkImagingCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 625K Dec 17 2017 libvtkImagingCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingFourier-6.3.so.6.3 -> libvtkImagingFourier-6.3.so.6.3.0 -rw-r--r-- 1 root root 187K Dec 17 2017 libvtkImagingFourier-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingFourierPython27D-6.3.so.6.3 -> libvtkImagingFourierPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 103K Dec 17 2017 libvtkImagingFourierPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingFourierTCL-6.3.so.6.3 -> libvtkImagingFourierTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkImagingFourierTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingGeneral-6.3.so.6.3 -> libvtkImagingGeneral-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkImagingGeneral-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingGeneralPython27D-6.3.so.6.3 -> libvtkImagingGeneralPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 378K Dec 17 2017 libvtkImagingGeneralPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingGeneralTCL-6.3.so.6.3 -> libvtkImagingGeneralTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 348K Dec 17 2017 libvtkImagingGeneralTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkImagingHybrid-6.3.so.6.3 -> libvtkImagingHybrid-6.3.so.6.3.0 -rw-r--r-- 1 root root 505K Dec 17 2017 libvtkImagingHybrid-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkImagingHybridPython27D-6.3.so.6.3 -> libvtkImagingHybridPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 539K Dec 17 2017 libvtkImagingHybridPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkImagingHybridTCL-6.3.so.6.3 -> libvtkImagingHybridTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 315K Dec 17 2017 libvtkImagingHybridTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkImagingMath-6.3.so.6.3 -> libvtkImagingMath-6.3.so.6.3.0 -rw-r--r-- 1 root root 296K Dec 17 2017 libvtkImagingMath-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingMathPython27D-6.3.so.6.3 -> libvtkImagingMathPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 143K Dec 17 2017 libvtkImagingMathPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingMathTCL-6.3.so.6.3 -> libvtkImagingMathTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkImagingMathTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingMorphological-6.3.so.6.3 -> libvtkImagingMorphological-6.3.so.6.3.0 -rw-r--r-- 1 root root 536K Dec 17 2017 libvtkImagingMorphological-6.3.so.6.3.0 lrwxrwxrwx 1 root root 48 Dec 17 2017 libvtkImagingMorphologicalPython27D-6.3.so.6.3 -> libvtkImagingMorphologicalPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 205K Dec 17 2017 libvtkImagingMorphologicalPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingMorphologicalTCL-6.3.so.6.3 -> libvtkImagingMorphologicalTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 143K Dec 17 2017 libvtkImagingMorphologicalTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingSources-6.3.so.6.3 -> libvtkImagingSources-6.3.so.6.3.0 -rw-r--r-- 1 root root 331K Dec 17 2017 libvtkImagingSources-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingSourcesPython27D-6.3.so.6.3 -> libvtkImagingSourcesPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 253K Dec 17 2017 libvtkImagingSourcesPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingSourcesTCL-6.3.so.6.3 -> libvtkImagingSourcesTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 183K Dec 17 2017 libvtkImagingSourcesTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingStatistics-6.3.so.6.3 -> libvtkImagingStatistics-6.3.so.6.3.0 -rw-r--r-- 1 root root 156K Dec 17 2017 libvtkImagingStatistics-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkImagingStatisticsPython27D-6.3.so.6.3 -> libvtkImagingStatisticsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 138K Dec 17 2017 libvtkImagingStatisticsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingStatisticsTCL-6.3.so.6.3 -> libvtkImagingStatisticsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkImagingStatisticsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingStencil-6.3.so.6.3 -> libvtkImagingStencil-6.3.so.6.3.0 -rw-r--r-- 1 root root 212K Dec 17 2017 libvtkImagingStencil-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingStencilPython27D-6.3.so.6.3 -> libvtkImagingStencilPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 147K Dec 17 2017 libvtkImagingStencilPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingStencilTCL-6.3.so.6.3 -> libvtkImagingStencilTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 107K Dec 17 2017 libvtkImagingStencilTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkInfovisBoostGraphAlgorithms-6.3.so.6.3 -> libvtkInfovisBoostGraphAlgorithms-6.3.so.6.3.0 -rw-r--r-- 1 root root 477K Dec 17 2017 libvtkInfovisBoostGraphAlgorithms-6.3.so.6.3.0 lrwxrwxrwx 1 root root 55 Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsPython27D-6.3.so.6.3 -> libvtkInfovisBoostGraphAlgorithmsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 205K Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 49 Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsTCL-6.3.so.6.3 -> libvtkInfovisBoostGraphAlgorithmsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 163K Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkInfovisCore-6.3.so.6.3 -> libvtkInfovisCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 1008K Dec 17 2017 libvtkInfovisCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkInfovisCorePython27D-6.3.so.6.3 -> libvtkInfovisCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 752K Dec 17 2017 libvtkInfovisCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkInfovisCoreTCL-6.3.so.6.3 -> libvtkInfovisCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 536K Dec 17 2017 libvtkInfovisCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkInfovisLayout-6.3.so.6.3 -> libvtkInfovisLayout-6.3.so.6.3.0 -rw-r--r-- 1 root root 670K Dec 17 2017 libvtkInfovisLayout-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkInfovisLayoutPython27D-6.3.so.6.3 -> libvtkInfovisLayoutPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 897K Dec 17 2017 libvtkInfovisLayoutPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkInfovisLayoutTCL-6.3.so.6.3 -> libvtkInfovisLayoutTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 600K Dec 17 2017 libvtkInfovisLayoutTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkInteractionImage-6.3.so.6.3 -> libvtkInteractionImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 152K Dec 17 2017 libvtkInteractionImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkInteractionImagePython27D-6.3.so.6.3 -> libvtkInteractionImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 144K Dec 17 2017 libvtkInteractionImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkInteractionImageTCL-6.3.so.6.3 -> libvtkInteractionImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 91K Dec 17 2017 libvtkInteractionImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkInteractionStyle-6.3.so.6.3 -> libvtkInteractionStyle-6.3.so.6.3.0 -rw-r--r-- 1 root root 537K Dec 17 2017 libvtkInteractionStyle-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkInteractionStylePython27D-6.3.so.6.3 -> libvtkInteractionStylePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 349K Dec 17 2017 libvtkInteractionStylePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkInteractionStyleTCL-6.3.so.6.3 -> libvtkInteractionStyleTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 219K Dec 17 2017 libvtkInteractionStyleTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkInteractionWidgets-6.3.so.6.3 -> libvtkInteractionWidgets-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.2M Dec 17 2017 libvtkInteractionWidgets-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkInteractionWidgetsPython27D-6.3.so.6.3 -> libvtkInteractionWidgetsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.6M Dec 17 2017 libvtkInteractionWidgetsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkInteractionWidgetsTCL-6.3.so.6.3 -> libvtkInteractionWidgetsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.1M Dec 17 2017 libvtkInteractionWidgetsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkLocalExample-6.3.so.6.3 -> libvtkLocalExample-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkLocalExample-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkLocalExampleTCL-6.3.so.6.3 -> libvtkLocalExampleTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkLocalExampleTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkParallelCore-6.3.so.6.3 -> libvtkParallelCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 305K Dec 17 2017 libvtkParallelCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkParallelCorePython27D-6.3.so.6.3 -> libvtkParallelCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 376K Dec 17 2017 libvtkParallelCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkParallelCoreTCL-6.3.so.6.3 -> libvtkParallelCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 152K Dec 17 2017 libvtkParallelCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkParallelMPI-6.3.so.6.3 -> libvtkParallelMPI-6.3.so.6.3.0 -rw-r--r-- 1 root root 149K Dec 17 2017 libvtkParallelMPI-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkParallelMPI4Py-6.3.so.6.3 -> libvtkParallelMPI4Py-6.3.so.6.3.0 -rw-r--r-- 1 root root 68K Dec 17 2017 libvtkParallelMPI4Py-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkParallelMPI4PyPython27D-6.3.so.6.3 -> libvtkParallelMPI4PyPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkParallelMPI4PyPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkParallelMPIPython27D-6.3.so.6.3 -> libvtkParallelMPIPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkParallelMPIPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkParallelMPITCL-6.3.so.6.3 -> libvtkParallelMPITCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkParallelMPITCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkPythonInterpreter-6.3.so.6.3 -> libvtkPythonInterpreter-6.3.so.6.3.0 -rw-r--r-- 1 root root 40K Dec 17 2017 libvtkPythonInterpreter-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkPythonInterpreterPython27D-6.3.so.6.3 -> libvtkPythonInterpreterPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 28K Dec 17 2017 libvtkPythonInterpreterPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkPythonInterpreterTCL-6.3.so.6.3 -> libvtkPythonInterpreterTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkPythonInterpreterTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkRenderingAnnotation-6.3.so.6.3 -> libvtkRenderingAnnotation-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.3M Dec 17 2017 libvtkRenderingAnnotation-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkRenderingAnnotationPython27D-6.3.so.6.3 -> libvtkRenderingAnnotationPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.9M Dec 17 2017 libvtkRenderingAnnotationPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingAnnotationTCL-6.3.so.6.3 -> libvtkRenderingAnnotationTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 945K Dec 17 2017 libvtkRenderingAnnotationTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingContext2D-6.3.so.6.3 -> libvtkRenderingContext2D-6.3.so.6.3.0 -rw-r--r-- 1 root root 252K Dec 17 2017 libvtkRenderingContext2D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkRenderingContext2DPython27D-6.3.so.6.3 -> libvtkRenderingContext2DPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 320K Dec 17 2017 libvtkRenderingContext2DPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingContextIIDTCL-6.3.so.6.3 -> libvtkRenderingContextIIDTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 212K Dec 17 2017 libvtkRenderingContextIIDTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingContextOpenGL-6.3.so.6.3 -> libvtkRenderingContextOpenGL-6.3.so.6.3.0 -rw-r--r-- 1 root root 196K Dec 17 2017 libvtkRenderingContextOpenGL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 50 Dec 17 2017 libvtkRenderingContextOpenGLPython27D-6.3.so.6.3 -> libvtkRenderingContextOpenGLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkRenderingContextOpenGLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkRenderingContextOpenGLTCL-6.3.so.6.3 -> libvtkRenderingContextOpenGLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkRenderingContextOpenGLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkRenderingCore-6.3.so.6.3 -> libvtkRenderingCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.5M Dec 17 2017 libvtkRenderingCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingCorePython27D-6.3.so.6.3 -> libvtkRenderingCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.6M Dec 17 2017 libvtkRenderingCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkRenderingCoreTCL-6.3.so.6.3 -> libvtkRenderingCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.2M Dec 17 2017 libvtkRenderingCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingExternal-6.3.so.6.3 -> libvtkRenderingExternal-6.3.so.6.3.0 -rw-r--r-- 1 root root 236K Dec 17 2017 libvtkRenderingExternal-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkRenderingExternalPython27D-6.3.so.6.3 -> libvtkRenderingExternalPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 86K Dec 17 2017 libvtkRenderingExternalPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingExternalTCL-6.3.so.6.3 -> libvtkRenderingExternalTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkRenderingExternalTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingFreeType-6.3.so.6.3 -> libvtkRenderingFreeType-6.3.so.6.3.0 -rw-r--r-- 1 root root 781K Dec 17 2017 libvtkRenderingFreeType-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkRenderingFreeTypeFontConfig-6.3.so.6.3 -> libvtkRenderingFreeTypeFontConfig-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkRenderingFreeTypeFontConfig-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkRenderingFreeTypePython27D-6.3.so.6.3 -> libvtkRenderingFreeTypePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 61K Dec 17 2017 libvtkRenderingFreeTypePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingFreeTypeTCL-6.3.so.6.3 -> libvtkRenderingFreeTypeTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkRenderingFreeTypeTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingGL2PS-6.3.so.6.3 -> libvtkRenderingGL2PS-6.3.so.6.3.0 -rw-r--r-- 1 root root 112K Dec 17 2017 libvtkRenderingGL2PS-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingGL2PSPython27D-6.3.so.6.3 -> libvtkRenderingGL2PSPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkRenderingGL2PSPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingGLtoPSTCL-6.3.so.6.3 -> libvtkRenderingGLtoPSTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkRenderingGLtoPSTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingImage-6.3.so.6.3 -> libvtkRenderingImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 136K Dec 17 2017 libvtkRenderingImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingImagePython27D-6.3.so.6.3 -> libvtkRenderingImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 110K Dec 17 2017 libvtkRenderingImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingImageTCL-6.3.so.6.3 -> libvtkRenderingImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkRenderingImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkRenderingLIC-6.3.so.6.3 -> libvtkRenderingLIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 647K Dec 17 2017 libvtkRenderingLIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingLICPython27D-6.3.so.6.3 -> libvtkRenderingLICPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 164K Dec 17 2017 libvtkRenderingLICPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingLICTCL-6.3.so.6.3 -> libvtkRenderingLICTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkRenderingLICTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkRenderingLOD-6.3.so.6.3 -> libvtkRenderingLOD-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkRenderingLOD-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingLODPython27D-6.3.so.6.3 -> libvtkRenderingLODPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 106K Dec 17 2017 libvtkRenderingLODPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingLODTCL-6.3.so.6.3 -> libvtkRenderingLODTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 59K Dec 17 2017 libvtkRenderingLODTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingLabel-6.3.so.6.3 -> libvtkRenderingLabel-6.3.so.6.3.0 -rw-r--r-- 1 root root 689K Dec 17 2017 libvtkRenderingLabel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingLabelPython27D-6.3.so.6.3 -> libvtkRenderingLabelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 434K Dec 17 2017 libvtkRenderingLabelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingLabelTCL-6.3.so.6.3 -> libvtkRenderingLabelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 239K Dec 17 2017 libvtkRenderingLabelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkRenderingMatplotlib-6.3.so.6.3 -> libvtkRenderingMatplotlib-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkRenderingMatplotlib-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkRenderingMatplotlibPython27D-6.3.so.6.3 -> libvtkRenderingMatplotlibPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkRenderingMatplotlibPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingMatplotlibTCL-6.3.so.6.3 -> libvtkRenderingMatplotlibTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkRenderingMatplotlibTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingOpenGL-6.3.so.6.3 -> libvtkRenderingOpenGL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.7M Dec 17 2017 libvtkRenderingOpenGL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkRenderingOpenGLPython27D-6.3.so.6.3 -> libvtkRenderingOpenGLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 983K Dec 17 2017 libvtkRenderingOpenGLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingOpenGLTCL-6.3.so.6.3 -> libvtkRenderingOpenGLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 711K Dec 17 2017 libvtkRenderingOpenGLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingParallel-6.3.so.6.3 -> libvtkRenderingParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 341K Dec 17 2017 libvtkRenderingParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingParallelLIC-6.3.so.6.3 -> libvtkRenderingParallelLIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 621K Dec 17 2017 libvtkRenderingParallelLIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 48 Dec 17 2017 libvtkRenderingParallelLICPython27D-6.3.so.6.3 -> libvtkRenderingParallelLICPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 48K Dec 17 2017 libvtkRenderingParallelLICPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingParallelLICTCL-6.3.so.6.3 -> libvtkRenderingParallelLICTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkRenderingParallelLICTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkRenderingParallelPython27D-6.3.so.6.3 -> libvtkRenderingParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 284K Dec 17 2017 libvtkRenderingParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingParallelTCL-6.3.so.6.3 -> libvtkRenderingParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 179K Dec 17 2017 libvtkRenderingParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingTkTCL-6.3.so.6.3 -> libvtkRenderingTkTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 104K Dec 17 2017 libvtkRenderingTkTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingVolume-6.3.so.6.3 -> libvtkRenderingVolume-6.3.so.6.3.0 -rw-r--r-- 1 root root 4.2M Dec 17 2017 libvtkRenderingVolume-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingVolumeAMR-6.3.so.6.3 -> libvtkRenderingVolumeAMR-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkRenderingVolumeAMR-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkRenderingVolumeAMRPython27D-6.3.so.6.3 -> libvtkRenderingVolumeAMRPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 69K Dec 17 2017 libvtkRenderingVolumeAMRPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingVolumeAMRTCL-6.3.so.6.3 -> libvtkRenderingVolumeAMRTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkRenderingVolumeAMRTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingVolumeOpenGL-6.3.so.6.3 -> libvtkRenderingVolumeOpenGL-6.3.so.6.3.0 -rw-r--r-- 1 root root 670K Dec 17 2017 libvtkRenderingVolumeOpenGL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 49 Dec 17 2017 libvtkRenderingVolumeOpenGLPython27D-6.3.so.6.3 -> libvtkRenderingVolumeOpenGLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 127K Dec 17 2017 libvtkRenderingVolumeOpenGLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkRenderingVolumeOpenGLTCL-6.3.so.6.3 -> libvtkRenderingVolumeOpenGLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 91K Dec 17 2017 libvtkRenderingVolumeOpenGLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkRenderingVolumePython27D-6.3.so.6.3 -> libvtkRenderingVolumePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkRenderingVolumePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingVolumeTCL-6.3.so.6.3 -> libvtkRenderingVolumeTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 620K Dec 17 2017 libvtkRenderingVolumeTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkTestingGenericBridge-6.3.so.6.3 -> libvtkTestingGenericBridge-6.3.so.6.3.0 -rw-r--r-- 1 root root 132K Dec 17 2017 libvtkTestingGenericBridge-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkTestingIOSQL-6.3.so.6.3 -> libvtkTestingIOSQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkTestingIOSQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkTestingRendering-6.3.so.6.3 -> libvtkTestingRendering-6.3.so.6.3.0 -rw-r--r-- 1 root root 136K Dec 17 2017 libvtkTestingRendering-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkTestingRenderingPython27D-6.3.so.6.3 -> libvtkTestingRenderingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 61K Dec 17 2017 libvtkTestingRenderingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkTestingRenderingTCL-6.3.so.6.3 -> libvtkTestingRenderingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkTestingRenderingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 23 Dec 17 2017 libvtkVPIC-6.3.so.6.3 -> libvtkVPIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 95K Dec 17 2017 libvtkVPIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkViewsContext2D-6.3.so.6.3 -> libvtkViewsContext2D-6.3.so.6.3.0 -rw-r--r-- 1 root root 75K Dec 17 2017 libvtkViewsContext2D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkViewsContext2DPython27D-6.3.so.6.3 -> libvtkViewsContext2DPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 32K Dec 17 2017 libvtkViewsContext2DPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkViewsContextIIDTCL-6.3.so.6.3 -> libvtkViewsContextIIDTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkViewsContextIIDTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkViewsCore-6.3.so.6.3 -> libvtkViewsCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 172K Dec 17 2017 libvtkViewsCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkViewsCorePython27D-6.3.so.6.3 -> libvtkViewsCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 181K Dec 17 2017 libvtkViewsCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkViewsCoreTCL-6.3.so.6.3 -> libvtkViewsCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 119K Dec 17 2017 libvtkViewsCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkViewsGeovis-6.3.so.6.3 -> libvtkViewsGeovis-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkViewsGeovis-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkViewsGeovisPython27D-6.3.so.6.3 -> libvtkViewsGeovisPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 32K Dec 17 2017 libvtkViewsGeovisPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkViewsGeovisTCL-6.3.so.6.3 -> libvtkViewsGeovisTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkViewsGeovisTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkViewsInfovis-6.3.so.6.3 -> libvtkViewsInfovis-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkViewsInfovis-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkViewsInfovisPython27D-6.3.so.6.3 -> libvtkViewsInfovisPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 927K Dec 17 2017 libvtkViewsInfovisPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkViewsInfovisTCL-6.3.so.6.3 -> libvtkViewsInfovisTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 565K Dec 17 2017 libvtkViewsInfovisTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkWrappingJava-6.3.so.6.3 -> libvtkWrappingJava-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkWrappingJava-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkWrappingPython27Core-6.3.so.6.3 -> libvtkWrappingPython27Core-6.3.so.6.3.0 -rw-r--r-- 1 root root 180K Dec 17 2017 libvtkWrappingPython27Core-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkalglib-6.3.so.6.3 -> libvtkalglib-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkalglib-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkexoIIc-6.3.so.6.3 -> libvtkexoIIc-6.3.so.6.3.0 -rw-r--r-- 1 root root 288K Dec 17 2017 libvtkexoIIc-6.3.so.6.3.0 lrwxrwxrwx 1 root root 23 Dec 17 2017 libvtkftgl-6.3.so.6.3 -> libvtkftgl-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkftgl-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkmetaio-6.3.so.6.3 -> libvtkmetaio-6.3.so.6.3.0 -rw-r--r-- 1 root root 591K Dec 17 2017 libvtkmetaio-6.3.so.6.3.0 lrwxrwxrwx 1 root root 22 Dec 17 2017 libvtksys-6.3.so.6.3 -> libvtksys-6.3.so.6.3.0 -rw-r--r-- 1 root root 278K Dec 17 2017 libvtksys-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkverdict-6.3.so.6.3 -> libvtkverdict-6.3.so.6.3.0 -rw-r--r-- 1 root root 195K Dec 17 2017 libvtkverdict-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkxdmf2-6.3.so.6.3 -> libvtkxdmf2-6.3.so.6.3.0 -rw-r--r-- 1 root root 472K Dec 17 2017 libvtkxdmf2-6.3.so.6.3.0 lrwxrwxrwx 1 root root 19 Jan 5 2021 libwavpack.so.1 -> libwavpack.so.1.2.0 -rw-r--r-- 1 root root 167K Jan 5 2021 libwavpack.so.1.2.0 lrwxrwxrwx 1 root root 26 Feb 1 2020 libwayland-client.so.0 -> libwayland-client.so.0.3.0 -rw-r--r-- 1 root root 60K Feb 1 2020 libwayland-client.so.0.3.0 lrwxrwxrwx 1 root root 26 Feb 1 2020 libwayland-cursor.so.0 -> libwayland-cursor.so.0.0.0 -rw-r--r-- 1 root root 31K Feb 1 2020 libwayland-cursor.so.0.0.0 lrwxrwxrwx 1 root root 23 Feb 1 2020 libwayland-egl.so.1 -> libwayland-egl.so.1.0.0 -rw-r--r-- 1 root root 5.9K Feb 1 2020 libwayland-egl.so.1.0.0 lrwxrwxrwx 1 root root 16 May 20 2021 libwebp.so.6 -> libwebp.so.6.0.2 -rw-r--r-- 1 root root 411K May 20 2021 libwebp.so.6.0.2 lrwxrwxrwx 1 root root 19 May 20 2021 libwebpmux.so.3 -> libwebpmux.so.3.0.1 -rw-r--r-- 1 root root 39K May 20 2021 libwebpmux.so.3.0.1 lrwxrwxrwx 1 root root 16 Dec 15 2017 libwind.so.0 -> libwind.so.0.0.0 -rw-r--r-- 1 root root 162K Dec 15 2017 libwind.so.0.0.0 -rw-r--r-- 1 root root 1.2M Jan 19 2018 libx264.so.152 -rw-r--r-- 1 root root 11M Dec 31 2017 libx265.so.146 lrwxrwxrwx 1 root root 20 Jun 21 2018 libxcb-dri2.so.0 -> libxcb-dri2.so.0.0.0 -rw-r--r-- 1 root root 19K Jun 21 2018 libxcb-dri2.so.0.0.0 lrwxrwxrwx 1 root root 20 Jun 21 2018 libxcb-dri3.so.0 -> libxcb-dri3.so.0.0.0 -rw-r--r-- 1 root root 15K Jun 21 2018 libxcb-dri3.so.0.0.0 lrwxrwxrwx 1 root root 19 Jun 21 2018 libxcb-glx.so.0 -> libxcb-glx.so.0.0.0 -rw-r--r-- 1 root root 107K Jun 21 2018 libxcb-glx.so.0.0.0 lrwxrwxrwx 1 root root 23 Jun 21 2018 libxcb-present.so.0 -> libxcb-present.so.0.0.0 -rw-r--r-- 1 root root 11K Jun 21 2018 libxcb-present.so.0.0.0 lrwxrwxrwx 1 root root 22 Jun 21 2018 libxcb-render.so.0 -> libxcb-render.so.0.0.0 -rw-r--r-- 1 root root 51K Jun 21 2018 libxcb-render.so.0.0.0 lrwxrwxrwx 1 root 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1 14:25 libxml2.so.2.9.4 lrwxrwxrwx 1 root root 21 Mar 18 2018 libxshmfence.so.1 -> libxshmfence.so.1.0.0 -rw-r--r-- 1 root root 6.1K Mar 18 2018 libxshmfence.so.1.0.0 lrwxrwxrwx 1 root root 18 Jan 28 2018 libxvidcore.so.4 -> libxvidcore.so.4.3 -rw-r--r-- 1 root root 672K Jan 28 2018 libxvidcore.so.4.3 -rw-r--r-- 1 root root 162K Mar 26 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 Aug 16 08:41 nss drwxr-xr-x 2 root root 4.0K Aug 16 08:41 odbc drwxr-xr-x 2 root root 4.0K Aug 16 08:41 openblas drwxr-xr-x 3 root root 4.0K Aug 16 08:41 openmpi drwxr-xr-x 1 root root 4.0K Aug 16 08:40 perl drwxr-xr-x 16 root root 4.0K Aug 1 13:21 perl-base drwxr-xr-x 2 root root 4.0K Aug 16 08:41 pkgconfig -rw-r--r-- 1 root root 1.8K May 3 10:19 rcrt1.o drwxr-xr-x 2 root root 4.0K Aug 16 08:41 rsocket drwxr-xr-x 2 root root 4.0K Aug 16 08:41 sasl2 drwxr-xr-x 2 root root 4.0K Aug 16 08:41 vdpau drwxr-xr-x 2 root root 4.0K Aug 16 08:41 x264-10bit -rw-r--r-- 1 root root 204 Aug 1 14:25 xml2Conf.sh [Pipeline] echo Packing build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so into dgl-cpu-linux [Pipeline] stash Stashed 4 file(s) Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 14710c00dabb56d36f3e54446074ae8363e5929dc24803dc30c53e0b1d93521f $ docker rm -f 14710c00dabb56d36f3e54446074ae8363e5929dc24803dc30c53e0b1d93521f [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } Archiving objects > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/obj/collectives/device/colldevice.a Linking libnccl.so.2.11.4 > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/lib/libnccl.so.2.11.4 Archiving libnccl_static.a > /root/jenkins/workspace/dgl_PR-4499@2/build/nccl/lib/libnccl_static.a /root/jenkins/workspace/dgl_PR-4499@2/third_party/nccl/src [ 49%] No install step for 'nccl_external' [ 49%] Completed 'nccl_external' [ 49%] Built target nccl_external [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/runtime/cuda/dgl_generated_nccl_api.cu.o [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_cumsum.cu.o [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_index_select.cu.o [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_nonzero.cu.o [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_op_impl.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_scatter.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_sort.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_coo2csr.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_coo_sort.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr2coo.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_get_data.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_mm.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_disjoint_union.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_cuda_filter.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_sum.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_negative_sampling.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_gather_mm.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_rowwise_sampling.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_rowwise_sampling_prob.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm_hetero_coo.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmat_op_impl_coo.cu.o [ 54%] 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_spmm.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/uvm/dgl_generated_array_index_select_uvm.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_sddmm_hetero_csr.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmm_hetero.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/geometry/cuda/dgl_generated_edge_coarsening_impl.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_utils.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/geometry/cuda/dgl_generated_geometry_op_impl.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_frequency_hashmap.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_get_node_types_gpu.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_randomwalk_gpu.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/transform/cuda/dgl_generated_cuda_compact_graph.cu.o [ 60%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/runtime/cuda/dgl_generated_cuda_hashtable.cu.o [ 60%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/partition/cuda/dgl_generated_partition_op.cu.o [ 60%] 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/graph/transform/cuda/dgl_generated_knn.cu.o /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@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-4499@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-4499@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-4499@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-4499@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-4499@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-4499@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-4499@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-4499@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-4499@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-4499@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-4499@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-4499@3/build/nccl/obj/collectives/device/colldevice.a Linking libnccl.so.2.11.4 > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/lib/libnccl.so.2.11.4 Archiving libnccl_static.a > /root/jenkins/workspace/dgl_PR-4499@3/build/nccl/lib/libnccl_static.a /root/jenkins/workspace/dgl_PR-4499@3/third_party/nccl/src [ 49%] No install step for 'nccl_external' [ 49%] Completed 'nccl_external' [ 49%] Built target nccl_external [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_nonzero.cu.o [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_coo2csr.cu.o [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/runtime/cuda/dgl_generated_nccl_api.cu.o [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_index_select.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_coo_sort.cu.o [ 49%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_get_data.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr2coo.cu.o [ 50%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_cuda_filter.cu.o [ 50%] 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_rowwise_sampling.cu.o [ 51%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_sort.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_disjoint_union.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_negative_sampling.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_array_op_impl.cu.o [ 53%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmat_op_impl_csr.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_rowwise_sampling_prob.cu.o [ 54%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/geometry/cuda/dgl_generated_geometry_op_impl.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_csr_sum.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_utils.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_gather_mm.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_randomwalk_gpu.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/graph/transform/cuda/dgl_generated_cuda_to_block.cu.o [ 55%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_get_node_types_gpu.cu.o [ 56%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/runtime/cuda/dgl_generated_cuda_hashtable.cu.o [ 57%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmm.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm_hetero_csr.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm.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/array/cuda/dgl_generated_spmat_op_impl_coo.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/dgl_generated_frequency_hashmap.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_sddmm_hetero_coo.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_segment_reduce.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/uvm/dgl_generated_array_index_select_uvm.cu.o [ 59%] Building NVCC (Device) object CMakeFiles/dgl.dir/src/array/cuda/dgl_generated_spmm_hetero.cu.o [ 59%] 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/graph/transform/cuda/dgl_generated_cuda_compact_graph.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/cpu/array_index_select.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_nonzero.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_op_impl.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_pack.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_coalesce.cc.o [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/array.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_repeat.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_linegraph.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_sort.cc.o [ 62%] Building CXX object CMakeFiles/dgl.dir/src/array/array_arith.cc.o [ 63%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_cumsum.cc.o [ 65%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/csr_mm.cc.o [ 65%] Building CXX object 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CMakeFiles/dgl.dir/src/runtime/threading_backend.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/random/random.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/api/api_test.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_apis.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/resource_manager.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/module_util.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/graph/creators.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/runtime/object.cc.o [ 73%] Building CXX object CMakeFiles/dgl.dir/src/partition/ndarray_partition.cc.o [ 75%] Building CXX object CMakeFiles/dgl.dir/src/runtime/utils.cc.o [ 75%] Building CXX object CMakeFiles/dgl.dir/src/runtime/c_object_api.cc.o [ 75%] Building CXX object CMakeFiles/dgl.dir/src/api/api_container.cc.o [ 75%] Building CXX object CMakeFiles/dgl.dir/src/runtime/workspace_pool.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/system_lib_module.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/tensordispatch.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/runtime/shared_mem.cc.o [ 77%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_op.cc.o [ 78%] Building CXX object CMakeFiles/dgl.dir/src/graph/graph_traversal.cc.o [ 79%] Building CXX object CMakeFiles/dgl.dir/src/runtime/registry.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/gk_ops.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/heterograph_capi.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/nodeflow.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/pickle.cc.o [ 80%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampler.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/negative/global_uniform.cc.o [ 81%] Building CXX object CMakeFiles/dgl.dir/src/graph/heterograph.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/metis_partition.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/network.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/neighbor/neighbor.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/immutable_graph.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalks.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/cpu/knn.cc.o [ 83%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/node2vec.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/zerocopy_serializer.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalk_with_restart_cpu.cc.o [ 84%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalk_cpu.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/dglgraph_serialize.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/get_node_types_cpu.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/graph_serialize.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/metis_partition_hetero.cc.o [ 85%] Building CXX object CMakeFiles/dgl.dir/src/graph/subgraph.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/node2vec_cpu.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/tensor_serialize.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/compact.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/union_partition.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/shared_mem_manager.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/knn.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_simple.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/unit_graph.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_bipartite.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/msg_queue.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/partition_hetero.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/remove_edges.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/traversal.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/serialize/heterograph_serialize.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/tcp_socket.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/socket_pool.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/line_graph.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_communicator.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/common.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/runtime/cuda/cuda_device_api.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/array/cuda/csr_transpose.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/rpc/rpc.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/rpc/tensorpipe/tp_communicator.cc.o /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@2/src/array/kernel.cc:353:16: warning: unused variable 'format' [-Wunused-variable] SparseFormat format = graph->SelectFormat(0, CSC_CODE); ^~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4499@2/src/geometry/../c_api_common.h:10:0, from /root/jenkins/workspace/dgl_PR-4499@2/src/geometry/geometry.cc:9: /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/graph/heterograph_capi.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@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-4499@2/src/graph/transform/cpu/knn.cc:590:47: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@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-4499@2/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@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-4499@2/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@2/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/src/graph/transform/cpu/knn.cc:594:47: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@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-4499@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-4499@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-4499@2/src/graph/transform/cpu/knn.cc:598:47: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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) { ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4499@2/include/dgl/array.h:13:0, from /root/jenkins/workspace/dgl_PR-4499@2/include/dgl/graph_interface.h:16, from /root/jenkins/workspace/dgl_PR-4499@2/include/dgl/sampler.h:13, from /root/jenkins/workspace/dgl_PR-4499@2/src/graph/sampler.cc:6: /root/jenkins/workspace/dgl_PR-4499@2/src/graph/sampler.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4499@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-4499@2/include/dgl/./aten/macro.h:121:6: note: in definition of macro 'ATEN_FLOAT_TYPE_SWITCH' {__VA_ARGS__} \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/graph/sampler.cc:938:11: note: in expansion of macro 'CHECK' CHECK(probability->shape[0] == gptr->NumEdges()) ^~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/include/dgl/./aten/macro.h:124:6: note: in definition of macro 'ATEN_FLOAT_TYPE_SWITCH' {__VA_ARGS__} \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/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-4499@2/third_party/dmlc-core/include/dmlc/logging.h:132:0, from /root/jenkins/workspace/dgl_PR-4499@2/include/dgl/./runtime/object.h:9, from /root/jenkins/workspace/dgl_PR-4499@2/include/dgl/graph_interface.h:15, from /root/jenkins/workspace/dgl_PR-4499@2/include/dgl/sampler.h:13, from /root/jenkins/workspace/dgl_PR-4499@2/src/graph/sampler.cc:6: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@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-4499@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-4499@2/src/graph/transform/cpu/knn.cc:602:47: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@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-4499@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-4499@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-4499@2/src/rpc/network/common.cc:71:32: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] if ((result >= 0) && (result < sizeof(space))) { ~~~~~~~^~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/./spmm.h:18:0, from /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:6: /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/spmm.cc:138:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/spmm.cc:142:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/spmm.cc:146:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/libra_partition.cc:43:1: warning: control reaches end of non-void function [-Wreturn-type] } ^ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/spmm.cc:150:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:30:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/spmm.cc:158:49: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/spmm.cc:165:49: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/graph/serialize/zerocopy_serializer.cc: In function 'void dgl::RawDataTensoDLPackDeleter(DLManagedTensor*)': /root/jenkins/workspace/dgl_PR-4499@2/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-4499@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-4499@2/src/array/cpu/spmm.cc:172:49: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/spmm.cc:179:49: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/spmm.cc:186:49: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/spmm.cc:193:49: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@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-4499@2/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro 'SWITCH_BITS' { __VA_ARGS__ } \ ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:79:7: note: in expansion of macro 'SWITCH_OP' SWITCH_OP(op, Op, { ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/graph/gk_ops.cc: In function 'gk_csr_t* dgl::Convert2GKCsr(dgl::aten::CSRMatrix, bool)': /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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"); ^ In file included from /root/jenkins/workspace/dgl_PR-4499@2/src/array/cpu/spmm.cc:6:0: /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@2/src/partition/ndarray_partition.cc: In member function 'virtual int64_t dgl::partition::RangePartition::PartSize(int) const': /root/jenkins/workspace/dgl_PR-4499@2/src/partition/ndarray_partition.cc:202:3: warning: control reaches end of non-void function [-Wreturn-type] } ^ /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@2/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@2/src/graph/transform/compact.cc:146:59: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@2/src/graph/transform/compact.cc:154:59: required from here /root/jenkins/workspace/dgl_PR-4499@2/src/graph/transform/compact.cc:72:24: warning: comparison between signed and unsigned integer expressions [-Wsign-compare] /root/jenkins/workspace/dgl_PR-4499@2/src/rpc/rpc.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4499@2/src/rpc/rpc.cc:325:11: warning: unused variable 'message_size' [-Wunused-variable] int64_t message_size = args[0]; ^~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@2/src/rpc/rpc.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4499@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-4499@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) { ~~^~~~~~~~~~~~~~~~~~~ [ 93%] Linking CXX shared library libdgl.so [ 93%] Built target dgl Scanning dependencies of target rpc_server Scanning dependencies of target rpc_client [ 95%] Building CXX object CMakeFiles/rpc_server.dir/tests/dist/cpp/rpc_server.cc.o [ 95%] Building CXX object CMakeFiles/rpc_client.dir/tests/dist/cpp/rpc_client.cc.o Scanning dependencies of target runUnitTests [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/message_queue_test.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/graph_index_test.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/socket_communicator_test.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/string_test.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_aten.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_csrmm.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_partition.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_sampler.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_rowwise.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_serialize.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmm.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_unit_graph.cc.o [100%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_zerocopy_serialize.cc.o /root/jenkins/workspace/dgl_PR-4499@2/tests/dist/cpp/rpc_client.cc: In member function 'void RPCClient::StartClient()': /root/jenkins/workspace/dgl_PR-4499@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-4499@2/tests/cpp/test_partition.cc: In instantiation of 'void _TestRemainder_MapToX() [with DLDeviceType XPU = (DLDeviceType)2; IdType = int]': /root/jenkins/workspace/dgl_PR-4499@2/tests/cpp/test_partition.cc:86:42: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@2/tests/cpp/test_partition.cc:87:42: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@2/tests/cpp/test_partition.cc: In instantiation of 'void _TestRange_MapToX() [with DLDeviceType XPU = (DLDeviceType)2; IdType = int]': /root/jenkins/workspace/dgl_PR-4499@2/tests/cpp/test_partition.cc:195:38: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@2/tests/cpp/test_partition.cc:196:38: required from here /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@2 ~/jenkins/workspace/dgl_PR-4499@2/python ~/jenkins/workspace/dgl_PR-4499@2 WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running install running bdist_egg running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-3.7 creating build/lib.linux-x86_64-3.7/dgl copying dgl/partition.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/core.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/base.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/sparse.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/network.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/logging.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/udf.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/init.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/view.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/generators.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/convert.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/container.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/merge.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/readout.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/batch.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/frame.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/random.py -> build/lib.linux-x86_64-3.7/dgl creating build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-3.7/dgl/geometry creating build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-3.7/dgl/function creating build/lib.linux-x86_64-3.7/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn creating build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/dis_kvstore.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/unified_tensor.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/graph_store.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib creating build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-3.7/dgl/utils creating build/lib.linux-x86_64-3.7/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-3.7/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-3.7/dgl/multiprocessing creating build/lib.linux-x86_64-3.7/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim creating build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-3.7/dgl/dataloading creating build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/neighbor.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/shadow.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/async_transferer.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading creating build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-3.7/dgl/backend creating build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-3.7/dgl/ops creating build/lib.linux-x86_64-3.7/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-3.7/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-3.7/dgl/cuda creating build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-3.7/dgl/storages creating build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-3.7/dgl/sampling creating build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-3.7/dgl/data creating build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-3.7/dgl/distributed creating build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/nodeflow.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/udf.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/view.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/kernel.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/graph.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/frame.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate creating build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-3.7/dgl/transforms creating build/lib.linux-x86_64-3.7/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn creating build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-3.7/dgl/_ffi creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch creating build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet creating build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow creating build/lib.linux-x86_64-3.7/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/functional creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/sampler.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/dis_sampler.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling creating build/lib.linux-x86_64-3.7/dgl/contrib/data copying dgl/contrib/data/knowledge_graph.py -> build/lib.linux-x86_64-3.7/dgl/contrib/data copying dgl/contrib/data/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib/data creating build/lib.linux-x86_64-3.7/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/optim/pytorch creating build/lib.linux-x86_64-3.7/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/mxnet creating build/lib.linux-x86_64-3.7/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/tensorflow creating build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch creating build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch creating build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet creating build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow creating build/lib.linux-x86_64-3.7/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn creating build/lib.linux-x86_64-3.7/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/spmv.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/degree_bucketing.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/scheduler.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/adapter.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/runtime.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime creating build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/program.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/executor.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/var.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/registry.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir creating build/lib.linux-x86_64-3.7/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/partition creating build/lib.linux-x86_64-3.7/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/tools creating build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-3.7 creating build/temp.linux-x86_64-3.7/dgl creating build/temp.linux-x86_64-3.7/dgl/_ffi creating build/temp.linux-x86_64-3.7/dgl/_ffi/_cython gcc -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/pytorch-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/pytorch-ci/compiler_compat -L/opt/conda/envs/pytorch-ci/lib -Wl,-rpath=/opt/conda/envs/pytorch-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/__init__.py -> build/bdist.linux-x86_64/egg/dgl/geometry creating build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/partition.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.7/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.7/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/dis_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/unified_tensor.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/graph_store.py -> build/bdist.linux-x86_64/egg/dgl/contrib creating build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/dis_sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling creating build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/shared_mem.py -> build/bdist.linux-x86_64/egg/dgl/utils creating build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/base.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/sparse.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/async_transferer.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.7/dgl/backend/backend.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch creating build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.7/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/graph_index.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/partition.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/nodeflow.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/udf.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/view.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/kernel.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/spmv.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/degree_bucketing.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/scheduler.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/adapter.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/runtime.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/program.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/executor.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/var.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/registry.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/graph.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/frame.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/module.py -> build/bdist.linux-x86_64/egg/dgl/transforms creating build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.7/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.7/dgl/distgnn/partition/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition creating build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/base.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.7/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/dis_kvstore.py to dis_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/unified_tensor.py to unified_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/graph_store.py to graph_store.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/sampler.py to sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/dis_sampler.py to dis_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/async_transferer.py to async_transferer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/nodeflow.py to nodeflow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/kernel.py to kernel.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/spmv.py to spmv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/degree_bucketing.py to degree_bucketing.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/scheduler.py to scheduler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/runtime.py to runtime.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/program.py to program.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/executor.py to executor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/var.py to var.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/registry.py to registry.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/graph.py to graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-37.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-37.pyc installing package data to build/bdist.linux-x86_64/egg running install_data copying ../build/libdgl.so -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/tensoradapter creating build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch copying ../build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so -> build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch creating build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt creating dist creating 'dist/dgl-0.9-py3.7-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dgl-0.9-py3.7-linux-x86_64.egg creating /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dgl-0.9-py3.7-linux-x86_64.egg Extracting dgl-0.9-py3.7-linux-x86_64.egg to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding dgl 0.9 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dgl-0.9-py3.7-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/13/71/c25adbd9b33a2e27edbe1fc84b3111a5ad97611885d7abcbdd8d1f2bb7ca/psutil-5.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=3054e923204b8e9c23a55b23b6df73a8089ae1d075cb0bf711d3e9da1724ded4 Best match: psutil 5.9.1 Processing psutil-5.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding psutil 5.9.1 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/psutil-5.9.1-py3.7-linux-x86_64.egg Searching for tqdm==4.64.0 Best match: tqdm 4.64.0 Adding tqdm 4.64.0 to easy-install.pth file Installing tqdm script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for requests==2.28.1 Best match: requests 2.28.1 Adding requests 2.28.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for networkx==2.6.3 Best match: networkx 2.6.3 Adding networkx 2.6.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for scipy==1.7.3 Best match: scipy 1.7.3 Adding scipy 1.7.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for numpy==1.21.6 Best match: numpy 1.21.6 Adding numpy 1.21.6 to easy-install.pth file Installing f2py script to /opt/conda/envs/pytorch-ci/bin Installing f2py3 script to /opt/conda/envs/pytorch-ci/bin Installing f2py3.7 script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for certifi==2022.6.15 Best match: certifi 2022.6.15 Adding certifi 2022.6.15 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for urllib3==1.26.11 Best match: urllib3 1.26.11 Adding urllib3 1.26.11 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for idna==3.3 Best match: idna 3.3 Adding idna 3.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for charset-normalizer==2.1.0 Best match: charset-normalizer 2.1.0 Adding charset-normalizer 2.1.0 to easy-install.pth file Installing normalizer script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Finished processing dependencies for dgl==0.9 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. setuptools.SetuptoolsDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/command/easy_install.py:147: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools. EasyInstallDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running build_ext building 'dgl._ffi._cy3.core' extension gcc -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/pytorch-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/pytorch-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/pytorch-ci/compiler_compat -L/opt/conda/envs/pytorch-ci/lib -Wl,-rpath=/opt/conda/envs/pytorch-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/pytorch-ci/compiler_compat/ld: warning: /opt/conda/envs/pytorch-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running install running bdist_egg running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-3.7 creating build/lib.linux-x86_64-3.7/dgl copying dgl/partition.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/core.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/base.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/sparse.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/network.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/logging.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/udf.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/init.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/view.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/generators.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/convert.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/container.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/merge.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/readout.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/batch.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/frame.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/random.py -> build/lib.linux-x86_64-3.7/dgl creating build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-3.7/dgl/geometry creating build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-3.7/dgl/function creating build/lib.linux-x86_64-3.7/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn creating build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/dis_kvstore.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/unified_tensor.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/graph_store.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib creating build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-3.7/dgl/utils creating build/lib.linux-x86_64-3.7/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-3.7/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-3.7/dgl/multiprocessing creating build/lib.linux-x86_64-3.7/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim creating build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-3.7/dgl/dataloading creating build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/neighbor.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/shadow.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/async_transferer.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading creating build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-3.7/dgl/backend creating build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-3.7/dgl/ops creating build/lib.linux-x86_64-3.7/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-3.7/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-3.7/dgl/cuda creating build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-3.7/dgl/storages creating build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-3.7/dgl/sampling creating build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-3.7/dgl/data creating build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-3.7/dgl/distributed creating build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/nodeflow.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/udf.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/view.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/kernel.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/graph.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/frame.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate creating build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-3.7/dgl/transforms creating build/lib.linux-x86_64-3.7/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn creating build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-3.7/dgl/_ffi creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch creating build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet creating build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow creating build/lib.linux-x86_64-3.7/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/functional creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/sampler.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/dis_sampler.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling creating build/lib.linux-x86_64-3.7/dgl/contrib/data copying dgl/contrib/data/knowledge_graph.py -> build/lib.linux-x86_64-3.7/dgl/contrib/data copying dgl/contrib/data/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib/data creating build/lib.linux-x86_64-3.7/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/optim/pytorch creating build/lib.linux-x86_64-3.7/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/mxnet creating build/lib.linux-x86_64-3.7/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/tensorflow creating build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch creating build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch creating build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet creating build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow creating build/lib.linux-x86_64-3.7/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn creating build/lib.linux-x86_64-3.7/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/spmv.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/degree_bucketing.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/scheduler.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/adapter.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/runtime.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime creating build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/program.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/executor.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/var.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/registry.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir creating build/lib.linux-x86_64-3.7/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/partition creating build/lib.linux-x86_64-3.7/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/tools creating build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-3.7 creating build/temp.linux-x86_64-3.7/dgl creating build/temp.linux-x86_64-3.7/dgl/_ffi creating build/temp.linux-x86_64-3.7/dgl/_ffi/_cython gcc -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/mxnet-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/mxnet-ci/compiler_compat -L/opt/conda/envs/mxnet-ci/lib -Wl,-rpath=/opt/conda/envs/mxnet-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/__init__.py -> build/bdist.linux-x86_64/egg/dgl/geometry creating build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/partition.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.7/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.7/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/dis_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/unified_tensor.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/graph_store.py -> build/bdist.linux-x86_64/egg/dgl/contrib creating build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/dis_sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling creating build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/shared_mem.py -> build/bdist.linux-x86_64/egg/dgl/utils creating build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/base.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/sparse.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/async_transferer.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.7/dgl/backend/backend.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch creating build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.7/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/graph_index.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/partition.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/nodeflow.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/udf.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/view.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/kernel.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/spmv.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/degree_bucketing.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/scheduler.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/adapter.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/runtime.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/program.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/executor.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/var.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/registry.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/graph.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/frame.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/module.py -> build/bdist.linux-x86_64/egg/dgl/transforms creating build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.7/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.7/dgl/distgnn/partition/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition creating build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/base.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.7/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/dis_kvstore.py to dis_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/unified_tensor.py to unified_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/graph_store.py to graph_store.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/sampler.py to sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/dis_sampler.py to dis_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/async_transferer.py to async_transferer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/nodeflow.py to nodeflow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/kernel.py to kernel.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/spmv.py to spmv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/degree_bucketing.py to degree_bucketing.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/scheduler.py to scheduler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/runtime.py to runtime.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/program.py to program.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/executor.py to executor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/var.py to var.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/registry.py to registry.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/graph.py to graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-37.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-37.pyc installing package data to build/bdist.linux-x86_64/egg running install_data copying ../build/libdgl.so -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/tensoradapter creating build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch copying ../build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so -> build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch creating build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt creating dist creating 'dist/dgl-0.9-py3.7-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dgl-0.9-py3.7-linux-x86_64.egg creating /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/dgl-0.9-py3.7-linux-x86_64.egg Extracting dgl-0.9-py3.7-linux-x86_64.egg to /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Adding dgl 0.9 to easy-install.pth file Installed /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/dgl-0.9-py3.7-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/13/71/c25adbd9b33a2e27edbe1fc84b3111a5ad97611885d7abcbdd8d1f2bb7ca/psutil-5.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=3054e923204b8e9c23a55b23b6df73a8089ae1d075cb0bf711d3e9da1724ded4 Best match: psutil 5.9.1 Processing psutil-5.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Adding psutil 5.9.1 to easy-install.pth file Installed /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/psutil-5.9.1-py3.7-linux-x86_64.egg Searching for tqdm==4.64.0 Best match: tqdm 4.64.0 Adding tqdm 4.64.0 to easy-install.pth file Installing tqdm script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for requests==2.28.1 Best match: requests 2.28.1 Adding requests 2.28.1 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for networkx==2.6.3 Best match: networkx 2.6.3 Adding networkx 2.6.3 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for scipy==1.7.3 Best match: scipy 1.7.3 Adding scipy 1.7.3 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for numpy==1.21.6 Best match: numpy 1.21.6 Adding numpy 1.21.6 to easy-install.pth file Installing f2py script to /opt/conda/envs/mxnet-ci/bin Installing f2py3 script to /opt/conda/envs/mxnet-ci/bin Installing f2py3.7 script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for certifi==2022.6.15 Best match: certifi 2022.6.15 Adding certifi 2022.6.15 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for urllib3==1.26.11 Best match: urllib3 1.26.11 Adding urllib3 1.26.11 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for idna==3.3 Best match: idna 3.3 Adding idna 3.3 to easy-install.pth file Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Searching for charset-normalizer==2.1.0 Best match: charset-normalizer 2.1.0 Adding charset-normalizer 2.1.0 to easy-install.pth file Installing normalizer script to /opt/conda/envs/mxnet-ci/bin Using /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages Finished processing dependencies for dgl==0.9 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. setuptools.SetuptoolsDeprecationWarning, /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/setuptools/command/easy_install.py:147: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools. EasyInstallDeprecationWarning, /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running build_ext building 'dgl._ffi._cy3.core' extension gcc -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/mxnet-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/mxnet-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/mxnet-ci/compiler_compat -L/opt/conda/envs/mxnet-ci/lib -Wl,-rpath=/opt/conda/envs/mxnet-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/mxnet-ci/compiler_compat/ld: warning: /opt/conda/envs/mxnet-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running install running bdist_egg running egg_info creating dgl.egg-info writing dgl.egg-info/PKG-INFO writing dependency_links to dgl.egg-info/dependency_links.txt writing requirements to dgl.egg-info/requires.txt writing top-level names to dgl.egg-info/top_level.txt writing manifest file 'dgl.egg-info/SOURCES.txt' reading manifest file 'dgl.egg-info/SOURCES.txt' writing manifest file 'dgl.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib.linux-x86_64-3.7 creating build/lib.linux-x86_64-3.7/dgl copying dgl/partition.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/core.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/subgraph.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/traversal.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/base.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/heterograph_index.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/sparse.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/_api_internal.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/heterograph.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/network.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/logging.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/graph_index.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/udf.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/ndarray.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/init.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/view.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/generators.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/convert.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/container.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/merge.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/readout.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/__init__.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/propagate.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/batch.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/frame.py -> build/lib.linux-x86_64-3.7/dgl copying dgl/random.py -> build/lib.linux-x86_64-3.7/dgl creating build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/edge_coarsening.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/fps.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/capi.py -> build/lib.linux-x86_64-3.7/dgl/geometry copying dgl/geometry/__init__.py -> build/lib.linux-x86_64-3.7/dgl/geometry creating build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/base.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/message.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/reducer.py -> build/lib.linux-x86_64-3.7/dgl/function copying dgl/function/__init__.py -> build/lib.linux-x86_64-3.7/dgl/function creating build/lib.linux-x86_64-3.7/dgl/nn copying dgl/nn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn creating build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/dis_kvstore.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/unified_tensor.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/graph_store.py -> build/lib.linux-x86_64-3.7/dgl/contrib copying dgl/contrib/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib creating build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/checks.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/exception.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/pin_memory.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/internal.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/filter.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/data.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/__init__.py -> build/lib.linux-x86_64-3.7/dgl/utils copying dgl/utils/shared_mem.py -> build/lib.linux-x86_64-3.7/dgl/utils creating build/lib.linux-x86_64-3.7/dgl/multiprocessing copying dgl/multiprocessing/pytorch.py -> build/lib.linux-x86_64-3.7/dgl/multiprocessing copying dgl/multiprocessing/__init__.py -> build/lib.linux-x86_64-3.7/dgl/multiprocessing creating build/lib.linux-x86_64-3.7/dgl/optim copying dgl/optim/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim creating build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/base.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/graphsaint.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/shadow.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/__init__.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/neighbor_sampler.py -> build/lib.linux-x86_64-3.7/dgl/dataloading copying dgl/dataloading/dist_dataloader.py -> build/lib.linux-x86_64-3.7/dgl/dataloading creating build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/neighbor.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/shadow.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/negative_sampler.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/async_transferer.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading copying dgl/_dataloading/cluster_gcn.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading creating build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/backend.py -> build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend copying dgl/backend/set_default_backend.py -> build/lib.linux-x86_64-3.7/dgl/backend creating build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/edge_softmax.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/sddmm.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/gather_mm.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/segment.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/__init__.py -> build/lib.linux-x86_64-3.7/dgl/ops copying dgl/ops/spmm.py -> build/lib.linux-x86_64-3.7/dgl/ops creating build/lib.linux-x86_64-3.7/dgl/cuda copying dgl/cuda/nccl.py -> build/lib.linux-x86_64-3.7/dgl/cuda copying dgl/cuda/__init__.py -> build/lib.linux-x86_64-3.7/dgl/cuda creating build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/pytorch_tensor.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/base.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/tensor.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/__init__.py -> build/lib.linux-x86_64-3.7/dgl/storages copying dgl/storages/numpy.py -> build/lib.linux-x86_64-3.7/dgl/storages creating build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/neighbor.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/pinsage.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/negative.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/randomwalks.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/utils.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/node2vec_randomwalk.py -> build/lib.linux-x86_64-3.7/dgl/sampling copying dgl/sampling/__init__.py -> build/lib.linux-x86_64-3.7/dgl/sampling creating build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm7b.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/graph_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/dgl_dataset.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/csv_dataset_base.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/knowledge_graph.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm9_edge.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gnn_benchmark.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/qm9.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/icews18.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gdelt.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/utils.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/sbm.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/csv_dataset.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/karate.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/citation_graph.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/rdf.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/bitcoinotc.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/ppi.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tensor_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/flickr.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/wikics.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/heterograph_serialize.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tu.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/__init__.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/gindt.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/tree.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/synthetic.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/adapter.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/fakenews.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/fraud.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/minigc.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/yelp.py -> build/lib.linux-x86_64-3.7/dgl/data copying dgl/data/reddit.py -> build/lib.linux-x86_64-3.7/dgl/data creating build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_graph.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/graph_partition_book.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/partition.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/standalone_kvstore.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/graph_services.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/role.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/constants.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc_server.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/kvstore.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_context.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/rpc_client.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/id_map.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/server_state.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/shared_mem_utils.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_tensor.py -> build/lib.linux-x86_64-3.7/dgl/distributed copying dgl/distributed/dist_dataloader.py -> build/lib.linux-x86_64-3.7/dgl/distributed creating build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/nodeflow.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/udf.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/view.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/kernel.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/graph.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate copying dgl/_deprecate/frame.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate creating build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/functional.py -> build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/__init__.py -> build/lib.linux-x86_64-3.7/dgl/transforms copying dgl/transforms/module.py -> build/lib.linux-x86_64-3.7/dgl/transforms creating build/lib.linux-x86_64-3.7/dgl/distgnn copying dgl/distgnn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn creating build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/runtime_ctypes.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/function.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/libinfo.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/streams.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/base.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/ndarray.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/object_generic.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi copying dgl/_ffi/object.py -> build/lib.linux-x86_64-3.7/dgl/_ffi creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/linear.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/factory.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch copying dgl/nn/pytorch/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch creating build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet copying dgl/nn/mxnet/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet creating build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/glob.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/hetero.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/utils.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow copying dgl/nn/tensorflow/softmax.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow creating build/lib.linux-x86_64-3.7/dgl/nn/functional copying dgl/nn/functional/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/functional creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transe.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/edgepred.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/transr.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link copying dgl/nn/pytorch/link/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/agnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dgnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/grouprevres.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/twirlsconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gcn2conv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/dotgatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/cfconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gmmconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densesageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gineconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/nnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatv2conv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/hgtconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/pnaconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/atomicconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/tagconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/densegraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/egnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv copying dgl/nn/pytorch/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv creating build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/gnnexplainer.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain copying dgl/nn/pytorch/explain/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain creating build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/agnnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gmmconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densesageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/nnconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatedgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/tagconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/densegraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv copying dgl/nn/mxnet/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv creating build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/relgraphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/appnpconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/graphconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/densechebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/ginconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sageconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/edgeconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/__init__.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/chebconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/sgconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv copying dgl/nn/tensorflow/conv/gatconv.py -> build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv creating build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/sampler.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/dis_sampler.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling copying dgl/contrib/sampling/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib/sampling creating build/lib.linux-x86_64-3.7/dgl/contrib/data copying dgl/contrib/data/knowledge_graph.py -> build/lib.linux-x86_64-3.7/dgl/contrib/data copying dgl/contrib/data/__init__.py -> build/lib.linux-x86_64-3.7/dgl/contrib/data creating build/lib.linux-x86_64-3.7/dgl/optim/pytorch copying dgl/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/pytorch copying dgl/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/optim/pytorch creating build/lib.linux-x86_64-3.7/dgl/optim/mxnet copying dgl/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/mxnet creating build/lib.linux-x86_64-3.7/dgl/optim/tensorflow copying dgl/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/optim/tensorflow creating build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/dataloader.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch copying dgl/_dataloading/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch creating build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch copying dgl/backend/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/pytorch creating build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet copying dgl/backend/mxnet/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/backend/mxnet creating build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/tensor.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow copying dgl/backend/tensorflow/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/backend/tensorflow creating build/lib.linux-x86_64-3.7/dgl/distributed/nn copying dgl/distributed/nn/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn creating build/lib.linux-x86_64-3.7/dgl/distributed/optim copying dgl/distributed/optim/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/sparse_emb.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch copying dgl/distributed/nn/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet copying dgl/distributed/nn/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet creating build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow copying dgl/distributed/nn/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/utils.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch copying dgl/distributed/optim/pytorch/sparse_optim.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet copying dgl/distributed/optim/mxnet/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet creating build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow copying dgl/distributed/optim/tensorflow/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow creating build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/spmv.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/degree_bucketing.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/scheduler.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/adapter.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime copying dgl/_deprecate/runtime/runtime.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime creating build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/program.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/executor.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/var.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/registry.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir copying dgl/_deprecate/runtime/ir/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir creating build/lib.linux-x86_64-3.7/dgl/distgnn/partition copying dgl/distgnn/partition/libra_partition.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/partition copying dgl/distgnn/partition/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/partition creating build/lib.linux-x86_64-3.7/dgl/distgnn/tools copying dgl/distgnn/tools/__init__.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/tools copying dgl/distgnn/tools/tools.py -> build/lib.linux-x86_64-3.7/dgl/distgnn/tools creating build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/function.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/types.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/ndarray.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes copying dgl/_ffi/_ctypes/object.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3 copying dgl/_ffi/_cy3/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3 creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2 copying dgl/_ffi/_cy2/__init__.py -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2 creating build/lib.linux-x86_64-3.7/dgl/_ffi/_cython copying dgl/_ffi/_cython/core.cpp -> build/lib.linux-x86_64-3.7/dgl/_ffi/_cython running build_ext building 'dgl._ffi._cy3.core' extension creating build/temp.linux-x86_64-3.7 creating build/temp.linux-x86_64-3.7/dgl creating build/temp.linux-x86_64-3.7/dgl/_ffi creating build/temp.linux-x86_64-3.7/dgl/_ffi/_cython gcc -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/tensorflow-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/tensorflow-ci/compiler_compat -L/opt/conda/envs/tensorflow-ci/lib -Wl,-rpath=/opt/conda/envs/tensorflow-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/edge_coarsening.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/fps.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/capi.py -> build/bdist.linux-x86_64/egg/dgl/geometry copying build/lib.linux-x86_64-3.7/dgl/geometry/__init__.py -> build/bdist.linux-x86_64/egg/dgl/geometry creating build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/base.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/message.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/reducer.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/function/__init__.py -> build/bdist.linux-x86_64/egg/dgl/function copying build/lib.linux-x86_64-3.7/dgl/partition.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/transe.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/edgepred.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/transr.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/link/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/linear.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/dgnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/grouprevres.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/twirlsconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/egatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gcn2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/dotgatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/cfconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gineconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatv2conv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/hgtconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/pnaconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/atomicconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/egnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain/gnnexplainer.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/explain/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/factory.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/nn/pytorch/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet creating build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/agnnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gmmconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densesageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/nnconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gatedgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/tagconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/densegraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/mxnet/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/glob.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/hetero.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/utils.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/relgraphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/appnpconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/graphconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/densechebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/ginconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/sageconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/edgeconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/chebconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/sgconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/conv/gatconv.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/nn/tensorflow/softmax.py -> build/bdist.linux-x86_64/egg/dgl/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.7/dgl/nn/functional/__init__.py -> build/bdist.linux-x86_64/egg/dgl/nn/functional copying build/lib.linux-x86_64-3.7/dgl/core.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/subgraph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/dis_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/unified_tensor.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/contrib/graph_store.py -> build/bdist.linux-x86_64/egg/dgl/contrib creating build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/dis_sampler.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling copying build/lib.linux-x86_64-3.7/dgl/contrib/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/sampling creating build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib/data copying build/lib.linux-x86_64-3.7/dgl/contrib/__init__.py -> build/bdist.linux-x86_64/egg/dgl/contrib copying build/lib.linux-x86_64-3.7/dgl/traversal.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/checks.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/exception.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/pin_memory.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/internal.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/filter.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/data.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/__init__.py -> build/bdist.linux-x86_64/egg/dgl/utils copying build/lib.linux-x86_64-3.7/dgl/utils/shared_mem.py -> build/bdist.linux-x86_64/egg/dgl/utils creating build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/multiprocessing/pytorch.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/multiprocessing/__init__.py -> build/bdist.linux-x86_64/egg/dgl/multiprocessing copying build/lib.linux-x86_64-3.7/dgl/base.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim creating build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/heterograph_index.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/sparse.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/base.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/graphsaint.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/neighbor_sampler.py -> build/bdist.linux-x86_64/egg/dgl/dataloading copying build/lib.linux-x86_64-3.7/dgl/dataloading/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading creating build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch/dataloader.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch copying build/lib.linux-x86_64-3.7/dgl/_dataloading/shadow.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/negative_sampler.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/async_transferer.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_dataloading/cluster_gcn.py -> build/bdist.linux-x86_64/egg/dgl/_dataloading copying build/lib.linux-x86_64-3.7/dgl/_api_internal.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/heterograph.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.7/dgl/backend/backend.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch copying build/lib.linux-x86_64-3.7/dgl/backend/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/pytorch creating build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/mxnet/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/mxnet copying build/lib.linux-x86_64-3.7/dgl/backend/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend creating build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/sparse.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/tensor.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/tensorflow/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/backend/tensorflow copying build/lib.linux-x86_64-3.7/dgl/backend/set_default_backend.py -> build/bdist.linux-x86_64/egg/dgl/backend copying build/lib.linux-x86_64-3.7/dgl/network.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/edge_softmax.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/sddmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/gather_mm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/segment.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/__init__.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/ops/spmm.py -> build/bdist.linux-x86_64/egg/dgl/ops copying build/lib.linux-x86_64-3.7/dgl/logging.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/graph_index.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/cuda/nccl.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/cuda/__init__.py -> build/bdist.linux-x86_64/egg/dgl/cuda copying build/lib.linux-x86_64-3.7/dgl/udf.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/pytorch_tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/base.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/tensor.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/__init__.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/storages/numpy.py -> build/bdist.linux-x86_64/egg/dgl/storages copying build/lib.linux-x86_64-3.7/dgl/ndarray.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/init.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/view.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/neighbor.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/pinsage.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/negative.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/randomwalks.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/utils.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/node2vec_randomwalk.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/sampling/__init__.py -> build/bdist.linux-x86_64/egg/dgl/sampling copying build/lib.linux-x86_64-3.7/dgl/generators.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm7b.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/graph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/dgl_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/csv_dataset_base.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/knowledge_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm9_edge.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gnn_benchmark.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/qm9.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/icews18.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gdelt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/utils.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/sbm.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/csv_dataset.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/karate.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/citation_graph.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/rdf.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/bitcoinotc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/ppi.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tensor_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/flickr.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/wikics.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/heterograph_serialize.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tu.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/__init__.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/gindt.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/tree.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/synthetic.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/adapter.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/fakenews.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/fraud.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/minigc.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/yelp.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/data/reddit.py -> build/bdist.linux-x86_64/egg/dgl/data copying build/lib.linux-x86_64-3.7/dgl/convert.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/container.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/merge.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/readout.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/__init__.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_graph.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/graph_partition_book.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/partition.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch/sparse_emb.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn creating build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/nn/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow creating build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/pytorch/sparse_optim.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/mxnet/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim creating build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/optim/tensorflow/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow copying build/lib.linux-x86_64-3.7/dgl/distributed/standalone_kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/graph_services.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/role.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/constants.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc_server.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/kvstore.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_context.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/rpc_client.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/id_map.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/server_state.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/shared_mem_utils.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_tensor.py -> build/bdist.linux-x86_64/egg/dgl/distributed copying build/lib.linux-x86_64-3.7/dgl/distributed/dist_dataloader.py -> build/bdist.linux-x86_64/egg/dgl/distributed creating build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/nodeflow.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/udf.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/view.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/kernel.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/spmv.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/degree_bucketing.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/scheduler.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/adapter.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/runtime.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime creating build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/program.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/executor.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/var.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/registry.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/runtime/ir/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir copying build/lib.linux-x86_64-3.7/dgl/_deprecate/graph.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/_deprecate/frame.py -> build/bdist.linux-x86_64/egg/dgl/_deprecate copying build/lib.linux-x86_64-3.7/dgl/propagate.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/batch.py -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/functional.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/__init__.py -> build/bdist.linux-x86_64/egg/dgl/transforms copying build/lib.linux-x86_64-3.7/dgl/transforms/module.py -> build/bdist.linux-x86_64/egg/dgl/transforms creating build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.7/dgl/distgnn/partition/libra_partition.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition copying build/lib.linux-x86_64-3.7/dgl/distgnn/partition/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/partition creating build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/tools/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/tools/tools.py -> build/bdist.linux-x86_64/egg/dgl/distgnn/tools copying build/lib.linux-x86_64-3.7/dgl/distgnn/__init__.py -> build/bdist.linux-x86_64/egg/dgl/distgnn creating build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/runtime_ctypes.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/libinfo.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/streams.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/base.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/function.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/types.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/_ctypes/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes copying build/lib.linux-x86_64-3.7/dgl/_ffi/ndarray.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/object_generic.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi copying build/lib.linux-x86_64-3.7/dgl/_ffi/object.py -> build/bdist.linux-x86_64/egg/dgl/_ffi creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy2/__init__.py -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2 creating build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cython/core.cpp -> build/bdist.linux-x86_64/egg/dgl/_ffi/_cython copying build/lib.linux-x86_64-3.7/dgl/frame.py -> build/bdist.linux-x86_64/egg/dgl copying build/lib.linux-x86_64-3.7/dgl/random.py -> build/bdist.linux-x86_64/egg/dgl byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/edge_coarsening.py to edge_coarsening.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/fps.py to fps.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/capi.py to capi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/geometry/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/message.py to message.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/reducer.py to reducer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/function/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transe.py to transe.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/edgepred.py to edgepred.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/transr.py to transr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/link/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/linear.py to linear.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dgnconv.py to dgnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/grouprevres.py to grouprevres.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/twirlsconv.py to twirlsconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egatconv.py to egatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gcn2conv.py to gcn2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/dotgatconv.py to dotgatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/cfconv.py to cfconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gineconv.py to gineconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatv2conv.py to gatv2conv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/hgtconv.py to hgtconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/pnaconv.py to pnaconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/atomicconv.py to atomicconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/egnnconv.py to egnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/gnnexplainer.py to gnnexplainer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/explain/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/factory.py to factory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/pytorch/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/agnnconv.py to agnnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gmmconv.py to gmmconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densesageconv.py to densesageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/nnconv.py to nnconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatedgraphconv.py to gatedgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/tagconv.py to tagconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/densegraphconv.py to densegraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/mxnet/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/glob.py to glob.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/hetero.py to hetero.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/relgraphconv.py to relgraphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/appnpconv.py to appnpconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/graphconv.py to graphconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/densechebconv.py to densechebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/ginconv.py to ginconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sageconv.py to sageconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/edgeconv.py to edgeconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/chebconv.py to chebconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/sgconv.py to sgconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/conv/gatconv.py to gatconv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/tensorflow/softmax.py to softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/nn/functional/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/core.py to core.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/subgraph.py to subgraph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/dis_kvstore.py to dis_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/unified_tensor.py to unified_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/graph_store.py to graph_store.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/sampler.py to sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/dis_sampler.py to dis_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/contrib/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/traversal.py to traversal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/checks.py to checks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/exception.py to exception.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/pin_memory.py to pin_memory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/internal.py to internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/filter.py to filter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/data.py to data.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/utils/shared_mem.py to shared_mem.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/pytorch.py to pytorch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/multiprocessing/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph_index.py to heterograph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/graphsaint.py to graphsaint.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/neighbor_sampler.py to neighbor_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/dataloading/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/dataloader.py to dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/shadow.py to shadow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/negative_sampler.py to negative_sampler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/async_transferer.py to async_transferer.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_dataloading/cluster_gcn.py to cluster_gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_api_internal.py to _api_internal.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/heterograph.py to heterograph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/backend.py to backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/mxnet/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse.py to sparse.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/tensorflow/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/backend/set_default_backend.py to set_default_backend.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/network.py to network.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/edge_softmax.py to edge_softmax.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/sddmm.py to sddmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/gather_mm.py to gather_mm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/segment.py to segment.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ops/spmm.py to spmm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/logging.py to logging.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/graph_index.py to graph_index.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/nccl.py to nccl.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/cuda/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/pytorch_tensor.py to pytorch_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/tensor.py to tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/storages/numpy.py to numpy.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/init.py to init.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/neighbor.py to neighbor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/pinsage.py to pinsage.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/negative.py to negative.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/randomwalks.py to randomwalks.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/node2vec_randomwalk.py to node2vec_randomwalk.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/sampling/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/generators.py to generators.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm7b.py to qm7b.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/graph_serialize.py to graph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/dgl_dataset.py to dgl_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset_base.py to csv_dataset_base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/knowledge_graph.py to knowledge_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9_edge.py to qm9_edge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gnn_benchmark.py to gnn_benchmark.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/qm9.py to qm9.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/icews18.py to icews18.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gdelt.py to gdelt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/sbm.py to sbm.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/csv_dataset.py to csv_dataset.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/karate.py to karate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/citation_graph.py to citation_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/rdf.py to rdf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/bitcoinotc.py to bitcoinotc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/ppi.py to ppi.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tensor_serialize.py to tensor_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/flickr.py to flickr.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/wikics.py to wikics.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/heterograph_serialize.py to heterograph_serialize.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tu.py to tu.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/gindt.py to gindt.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/tree.py to tree.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/synthetic.py to synthetic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fakenews.py to fakenews.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/fraud.py to fraud.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/minigc.py to minigc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/yelp.py to yelp.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/data/reddit.py to reddit.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/convert.py to convert.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/container.py to container.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/merge.py to merge.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/readout.py to readout.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_graph.py to dist_graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_partition_book.py to graph_partition_book.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/partition.py to partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/sparse_emb.py to sparse_emb.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/nn/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/utils.py to utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/pytorch/sparse_optim.py to sparse_optim.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/mxnet/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/optim/tensorflow/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/standalone_kvstore.py to standalone_kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/graph_services.py to graph_services.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/role.py to role.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/constants.py to constants.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_server.py to rpc_server.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/kvstore.py to kvstore.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_context.py to dist_context.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc.py to rpc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/rpc_client.py to rpc_client.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/id_map.py to id_map.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/server_state.py to server_state.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/shared_mem_utils.py to shared_mem_utils.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_tensor.py to dist_tensor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distributed/dist_dataloader.py to dist_dataloader.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/nodeflow.py to nodeflow.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/udf.py to udf.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/view.py to view.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/kernel.py to kernel.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/spmv.py to spmv.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/degree_bucketing.py to degree_bucketing.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/scheduler.py to scheduler.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/adapter.py to adapter.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/runtime.py to runtime.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/program.py to program.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/executor.py to executor.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/var.py to var.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/registry.py to registry.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/runtime/ir/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/graph.py to graph.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_deprecate/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/propagate.py to propagate.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/batch.py to batch.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/functional.py to functional.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/transforms/module.py to module.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/libra_partition.py to libra_partition.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/partition/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/tools/tools.py to tools.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/distgnn/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/runtime_ctypes.py to runtime_ctypes.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/libinfo.py to libinfo.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/streams.py to streams.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/base.py to base.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/function.py to function.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/types.py to types.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_ctypes/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/ndarray.py to ndarray.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object_generic.py to object_generic.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/object.py to object.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy2/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/frame.py to frame.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dgl/random.py to random.cpython-37.pyc creating stub loader for dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so byte-compiling build/bdist.linux-x86_64/egg/dgl/_ffi/_cy3/core.py to core.cpython-37.pyc installing package data to build/bdist.linux-x86_64/egg running install_data copying ../build/libdgl.so -> build/bdist.linux-x86_64/egg/dgl creating build/bdist.linux-x86_64/egg/dgl/tensoradapter creating build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch copying ../build/tensoradapter/pytorch/libtensoradapter_pytorch_1.9.0.so -> build/bdist.linux-x86_64/egg/dgl/tensoradapter/pytorch creating build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/not-zip-safe -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dgl.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO writing build/bdist.linux-x86_64/egg/EGG-INFO/native_libs.txt creating dist creating 'dist/dgl-0.9-py3.7-linux-x86_64.egg' and adding 'build/bdist.linux-x86_64/egg' to it removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dgl-0.9-py3.7-linux-x86_64.egg creating /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/dgl-0.9-py3.7-linux-x86_64.egg Extracting dgl-0.9-py3.7-linux-x86_64.egg to /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Adding dgl 0.9 to easy-install.pth file Installed /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/dgl-0.9-py3.7-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/13/71/c25adbd9b33a2e27edbe1fc84b3111a5ad97611885d7abcbdd8d1f2bb7ca/psutil-5.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=3054e923204b8e9c23a55b23b6df73a8089ae1d075cb0bf711d3e9da1724ded4 Best match: psutil 5.9.1 Processing psutil-5.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing psutil-5.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Adding psutil 5.9.1 to easy-install.pth file Installed /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/psutil-5.9.1-py3.7-linux-x86_64.egg Searching for tqdm==4.64.0 Best match: tqdm 4.64.0 Adding tqdm 4.64.0 to easy-install.pth file Installing tqdm script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for requests==2.28.1 Best match: requests 2.28.1 Adding requests 2.28.1 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for networkx==2.6.3 Best match: networkx 2.6.3 Adding networkx 2.6.3 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for scipy==1.4.1 Best match: scipy 1.4.1 Adding scipy 1.4.1 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for numpy==1.18.5 Best match: numpy 1.18.5 Adding numpy 1.18.5 to easy-install.pth file Installing f2py script to /opt/conda/envs/tensorflow-ci/bin Installing f2py3 script to /opt/conda/envs/tensorflow-ci/bin Installing f2py3.7 script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for certifi==2022.6.15 Best match: certifi 2022.6.15 Adding certifi 2022.6.15 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for urllib3==1.26.11 Best match: urllib3 1.26.11 Adding urllib3 1.26.11 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for idna==3.3 Best match: idna 3.3 Adding idna 3.3 to easy-install.pth file Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Searching for charset-normalizer==2.1.0 Best match: charset-normalizer 2.1.0 Adding charset-normalizer 2.1.0 to easy-install.pth file Installing normalizer script to /opt/conda/envs/tensorflow-ci/bin Using /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages Finished processing dependencies for dgl==0.9 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. setuptools.SetuptoolsDeprecationWarning, /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/command/easy_install.py:147: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools. EasyInstallDeprecationWarning, /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, [1/1] Cythonizing dgl/_ffi/_cython/core.pyx running build_ext building 'dgl._ffi._cy3.core' extension gcc -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -I../include/ -I../third_party/dmlc-core/include -I../third_party/dlpack/include -I/opt/conda/envs/tensorflow-ci/include/python3.7m -c dgl/_ffi/_cython/core.cpp -o build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++ g++ -pthread -B /opt/conda/envs/tensorflow-ci/compiler_compat -Wl,--sysroot=/ -pthread -shared -B /opt/conda/envs/tensorflow-ci/compiler_compat -L/opt/conda/envs/tensorflow-ci/lib -Wl,-rpath=/opt/conda/envs/tensorflow-ci/lib -Wl,--no-as-needed -Wl,--sysroot=/ build/temp.linux-x86_64-3.7/dgl/_ffi/_cython/core.o -Ldgl -L../build/Release -L../build -ldgl -o build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libstdc++.so: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010001 /opt/conda/envs/tensorflow-ci/compiler_compat/ld: warning: /opt/conda/envs/tensorflow-ci/lib/libgcc_s.so.1: unsupported GNU_PROPERTY_TYPE (5) type: 0xc0010002 copying build/lib.linux-x86_64-3.7/dgl/_ffi/_cy3/core.cpython-37m-x86_64-linux-gnu.so -> dgl/_ffi/_cy3 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/Cython/Compiler/Main.py:369: FutureWarning: Cython directive 'language_level' not set, using 2 for now (Py2). This will change in a later release! File: /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) ~/jenkins/workspace/dgl_PR-4499@2 [Pipeline] sh + ls -lh /usr/lib/x86_64-linux-gnu/ total 1.8G -rw-r--r-- 1 root root 496 May 3 10:19 Mcrt1.o -rw-r--r-- 1 root root 1.8K May 3 10:19 Scrt1.o drwxr-xr-x 1 root root 4.0K May 28 19:15 audit drwxr-xr-x 2 root root 4.0K Aug 16 08:53 avahi drwxr-xr-x 2 root root 4.0K Apr 28 00:03 coreutils -rw-r--r-- 1 root root 1.9K May 3 10:19 crt1.o -rw-r--r-- 1 root root 1.2K May 3 10:19 crti.o -rw-r--r-- 1 root root 648 May 3 10:19 crtn.o drwxr-xr-x 2 root root 4.0K Aug 16 08:53 dri drwxr-xr-x 2 root root 4.0K May 23 21:53 engines-1.1 drwxr-xr-x 1 root root 12K May 28 19:15 gconv -rw-r--r-- 1 root root 2.5K May 3 10:19 gcrt1.o drwxr-xr-x 2 root root 4.0K Aug 16 08:53 gdcm-2.8 drwxr-xr-x 3 root root 4.0K Aug 16 08:53 gdk-pixbuf-2.0 drwxr-xr-x 3 root root 4.0K Aug 16 08:53 gio drwxr-xr-x 2 root root 4.0K Aug 16 08:53 girepository-1.0 drwxr-xr-x 3 root root 4.0K Aug 16 08:53 glib-2.0 drwxr-xr-x 2 root root 4.0K Aug 16 08:54 graphviz -rw-r--r-- 1 root root 2.3K May 3 10:19 grcrt1.o drwxr-xr-x 3 root root 4.0K Aug 16 08:53 gtk-2.0 drwxr-xr-x 3 root root 4.0K Aug 16 08:53 gtk-3.0 drwxr-xr-x 2 root root 4.0K Aug 16 08:53 hwloc drwxr-xr-x 3 root root 4.0K Aug 16 08:53 icu drwxr-xr-x 3 root root 4.0K Aug 16 08:53 krb5 drwxr-xr-x 2 root root 4.0K May 28 19:15 ldscripts -rw-r--r-- 1 root root 2.0K May 3 10:19 libBrokenLocale.a lrwxrwxrwx 1 root root 42 May 3 10:19 libBrokenLocale.so -> /lib/x86_64-linux-gnu/libBrokenLocale.so.1 lrwxrwxrwx 1 root root 16 May 23 2016 libCharLS.so.1 -> libCharLS.so.1.0 -rw-r--r-- 1 root root 219K May 23 2016 libCharLS.so.1.0 lrwxrwxrwx 1 root root 14 May 10 2019 libGL.so.1 -> libGL.so.1.0.0 -rw-r--r-- 1 root root 555K May 10 2019 libGL.so.1.0.0 lrwxrwxrwx 1 root root 15 May 10 2019 libGLX.so.0 -> libGLX.so.0.0.0 -rw-r--r-- 1 root root 67K May 10 2019 libGLX.so.0.0.0 lrwxrwxrwx 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15K Apr 16 2016 libIexMath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 24 Apr 16 2016 libIexMath.so -> libIexMath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 23 Nov 16 2021 libIlmImf-2_2.so.22 -> libIlmImf-2_2.so.22.0.0 -rw-r--r-- 1 root root 2.8M Nov 16 2021 libIlmImf-2_2.so.22.0.0 -rw-r--r-- 1 root root 4.4M Nov 16 2021 libIlmImf.a lrwxrwxrwx 1 root root 23 Nov 16 2021 libIlmImf.so -> libIlmImf-2_2.so.22.0.0 lrwxrwxrwx 1 root root 27 Nov 16 2021 libIlmImfUtil-2_2.so.22 -> libIlmImfUtil-2_2.so.22.0.0 -rw-r--r-- 1 root root 140K Nov 16 2021 libIlmImfUtil-2_2.so.22.0.0 -rw-r--r-- 1 root root 319K Nov 16 2021 libIlmImfUtil.a lrwxrwxrwx 1 root root 27 Nov 16 2021 libIlmImfUtil.so -> libIlmImfUtil-2_2.so.22.0.0 lrwxrwxrwx 1 root root 26 Apr 16 2016 libIlmThread-2_2.so.12 -> libIlmThread-2_2.so.12.0.0 -rw-r--r-- 1 root root 27K Apr 16 2016 libIlmThread-2_2.so.12.0.0 lrwxrwxrwx 1 root root 26 Apr 16 2016 libIlmThread.so -> libIlmThread-2_2.so.12.0.0 lrwxrwxrwx 1 root root 22 Apr 16 2016 libImath-2_2.so.12 -> libImath-2_2.so.12.0.0 -rw-r--r-- 1 root root 71K Apr 16 2016 libImath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 22 Apr 16 2016 libImath.so -> libImath-2_2.so.12.0.0 lrwxrwxrwx 1 root root 15 Jul 14 2020 libLLVM-10.so -> libLLVM-10.so.1 -rw-r--r-- 1 root root 71M Jul 14 2020 libLLVM-10.so.1 lrwxrwxrwx 1 root root 18 Apr 5 2017 libOpenCL.so.1 -> libOpenCL.so.1.0.0 -rw-r--r-- 1 root root 43K Apr 5 2017 libOpenCL.so.1.0.0 lrwxrwxrwx 1 root root 14 Jul 13 2014 libSM.so.6 -> libSM.so.6.0.1 -rw-r--r-- 1 root root 31K Jul 13 2014 libSM.so.6.0.1 lrwxrwxrwx 1 root root 19 May 19 2021 libX11-xcb.so.1 -> libX11-xcb.so.1.0.0 -rw-r--r-- 1 root root 5.7K May 19 2021 libX11-xcb.so.1.0.0 lrwxrwxrwx 1 root root 15 May 19 2021 libX11.so.6 -> libX11.so.6.3.0 -rw-r--r-- 1 root root 1.3M May 19 2021 libX11.so.6.3.0 lrwxrwxrwx 1 root root 15 Apr 21 2020 libXau.so.6 -> libXau.so.6.0.0 -rw-r--r-- 1 root root 15K Apr 21 2020 libXau.so.6.0.0 lrwxrwxrwx 1 root root 12 Aug 3 2015 libXaw.so.7 -> libXaw7.so.7 lrwxrwxrwx 1 root root 16 Aug 3 2015 libXaw7.so.7 -> libXaw7.so.7.0.0 -rw-r--r-- 1 root root 461K Aug 3 2015 libXaw7.so.7.0.0 lrwxrwxrwx 1 root root 22 Jan 20 2017 libXcomposite.so.1 -> libXcomposite.so.1.0.0 -rw-r--r-- 1 root root 11K Jan 20 2017 libXcomposite.so.1.0.0 lrwxrwxrwx 1 root root 19 Dec 19 2017 libXcursor.so.1 -> libXcursor.so.1.0.2 -rw-r--r-- 1 root root 39K Dec 19 2017 libXcursor.so.1.0.2 lrwxrwxrwx 1 root root 19 Aug 20 2017 libXdamage.so.1 -> libXdamage.so.1.1.0 -rw-r--r-- 1 root root 11K Aug 20 2017 libXdamage.so.1.1.0 lrwxrwxrwx 1 root root 17 Mar 2 2017 libXdmcp.so.6 -> libXdmcp.so.6.0.0 -rw-r--r-- 1 root root 23K Mar 2 2017 libXdmcp.so.6.0.0 lrwxrwxrwx 1 root root 16 Oct 25 2014 libXext.so.6 -> libXext.so.6.4.0 -rw-r--r-- 1 root root 72K Oct 25 2014 libXext.so.6.4.0 lrwxrwxrwx 1 root root 18 Dec 5 2016 libXfixes.so.3 -> libXfixes.so.3.1.0 -rw-r--r-- 1 root root 23K Dec 5 2016 libXfixes.so.3.1.0 lrwxrwxrwx 1 root root 15 Jul 13 2014 libXft.so.2 -> libXft.so.2.3.2 -rw-r--r-- 1 root root 84K Jul 13 2014 libXft.so.2.3.2 lrwxrwxrwx 1 root root 14 Jan 23 2017 libXi.so.6 -> libXi.so.6.1.0 -rw-r--r-- 1 root root 63K Jan 23 2017 libXi.so.6.1.0 lrwxrwxrwx 1 root root 20 Jun 30 2013 libXinerama.so.1 -> libXinerama.so.1.0.0 -rw-r--r-- 1 root root 11K Jun 30 2013 libXinerama.so.1.0.0 lrwxrwxrwx 1 root root 15 Dec 10 2015 libXmu.so.6 -> libXmu.so.6.2.0 -rw-r--r-- 1 root root 101K Dec 10 2015 libXmu.so.6.2.0 lrwxrwxrwx 1 root root 16 Dec 22 2016 libXpm.so.4 -> libXpm.so.4.11.0 -rw-r--r-- 1 root root 71K Dec 22 2016 libXpm.so.4.11.0 lrwxrwxrwx 1 root root 18 Dec 6 2016 libXrandr.so.2 -> libXrandr.so.2.2.0 -rw-r--r-- 1 root root 43K Dec 6 2016 libXrandr.so.2.2.0 lrwxrwxrwx 1 root root 19 Dec 5 2016 libXrender.so.1 -> libXrender.so.1.3.0 -rw-r--r-- 1 root root 39K Dec 5 2016 libXrender.so.1.3.0 lrwxrwxrwx 1 root root 15 May 9 2012 libXss.so.1 -> libXss.so.1.0.0 -rw-r--r-- 1 root root 15K May 9 2012 libXss.so.1.0.0 lrwxrwxrwx 1 root root 14 May 24 2016 libXt.so.6 -> libXt.so.6.0.0 -rw-r--r-- 1 root root 416K May 24 2016 libXt.so.6.0.0 lrwxrwxrwx 1 root root 19 May 6 2015 libXxf86vm.so.1 -> libXxf86vm.so.1.0.0 -rw-r--r-- 1 root root 23K May 6 2015 libXxf86vm.so.1.0.0 lrwxrwxrwx 1 root root 15 Jul 28 2017 libaec.so.0 -> libaec.so.0.0.3 -rw-r--r-- 1 root root 30K Jul 28 2017 libaec.so.0.0.3 -rw-r--r-- 1 root root 23K May 3 10:19 libanl.a lrwxrwxrwx 1 root root 33 May 3 10:19 libanl.so -> /lib/x86_64-linux-gnu/libanl.so.1 lrwxrwxrwx 1 root root 20 Jun 15 2021 libapt-inst.so.2.0 -> libapt-inst.so.2.0.0 -rw-r--r-- 1 root root 51K Jun 15 2021 libapt-inst.so.2.0.0 lrwxrwxrwx 1 root root 19 Jun 15 2021 libapt-pkg.so.5.0 -> libapt-pkg.so.5.0.2 -rw-r--r-- 1 root root 1.8M Jun 15 2021 libapt-pkg.so.5.0.2 lrwxrwxrwx 1 root root 23 Jun 15 2021 libapt-private.so.0.0 -> libapt-private.so.0.0.0 -rw-r--r-- 1 root root 415K Jun 15 2021 libapt-private.so.0.0.0 lrwxrwxrwx 1 root root 18 Jan 24 2018 libarpack.so.2 -> libarpack.so.2.0.0 -rw-r--r-- 1 root root 295K Jan 24 2018 libarpack.so.2.0.0 lrwxrwxrwx 1 root root 16 Dec 4 2019 libasan.so.4 -> libasan.so.4.0.0 -rw-r--r-- 1 root root 1.4M Dec 4 2019 libasan.so.4.0.0 lrwxrwxrwx 1 root root 16 Dec 15 2017 libasn1.so.8 -> libasn1.so.8.0.0 -rw-r--r-- 1 root root 647K Dec 15 2017 libasn1.so.8.0.0 lrwxrwxrwx 1 root root 18 Feb 6 2018 libassuan.so.0 -> libassuan.so.0.8.1 -rw-r--r-- 1 root root 75K Feb 6 2018 libassuan.so.0.8.1 lrwxrwxrwx 1 root root 23 Mar 13 2018 libatk-1.0.so.0 -> libatk-1.0.so.0.22810.1 -rw-r--r-- 1 root root 150K Mar 13 2018 libatk-1.0.so.0.22810.1 lrwxrwxrwx 1 root root 26 Mar 13 2018 libatk-bridge-2.0.so.0 -> libatk-bridge-2.0.so.0.0.0 -rw-r--r-- 1 root root 194K Mar 13 2018 libatk-bridge-2.0.so.0.0.0 lrwxrwxrwx 1 root root 18 Mar 10 2020 libatomic.so.1 -> libatomic.so.1.2.0 -rw-r--r-- 1 root root 27K Mar 10 2020 libatomic.so.1.2.0 lrwxrwxrwx 1 root root 17 Mar 13 2018 libatspi.so.0 -> libatspi.so.0.0.1 -rw-r--r-- 1 root root 191K Mar 13 2018 libatspi.so.0.0.1 lrwxrwxrwx 1 root root 24 Jul 6 2021 libavahi-client.so.3 -> libavahi-client.so.3.2.9 -rw-r--r-- 1 root root 67K Jul 6 2021 libavahi-client.so.3.2.9 lrwxrwxrwx 1 root root 24 Jul 6 2021 libavahi-common.so.3 -> libavahi-common.so.3.5.3 -rw-r--r-- 1 root root 47K Jul 6 2021 libavahi-common.so.3.5.3 -rw-r--r-- 1 root root 19M May 18 20:01 libavcodec.a lrwxrwxrwx 1 root root 24 May 18 20:01 libavcodec.so -> libavcodec.so.57.107.100 lrwxrwxrwx 1 root root 24 May 18 20:01 libavcodec.so.57 -> libavcodec.so.57.107.100 -rw-r--r-- 1 root root 14M May 18 20:01 libavcodec.so.57.107.100 -rw-r--r-- 1 root root 4.7M May 18 20:01 libavformat.a lrwxrwxrwx 1 root root 24 May 18 20:01 libavformat.so -> libavformat.so.57.83.100 lrwxrwxrwx 1 root root 24 May 18 20:01 libavformat.so.57 -> libavformat.so.57.83.100 -rw-r--r-- 1 root root 2.4M May 18 20:01 libavformat.so.57.83.100 -rw-r--r-- 1 root root 214K May 18 20:01 libavresample.a lrwxrwxrwx 1 root root 22 May 18 20:01 libavresample.so -> libavresample.so.3.7.0 lrwxrwxrwx 1 root root 22 May 18 20:01 libavresample.so.3 -> libavresample.so.3.7.0 -rw-r--r-- 1 root root 130K May 18 20:01 libavresample.so.3.7.0 -rw-r--r-- 1 root root 755K May 18 20:01 libavutil.a lrwxrwxrwx 1 root root 22 May 18 20:01 libavutil.so -> libavutil.so.55.78.100 lrwxrwxrwx 1 root root 22 May 18 20:01 libavutil.so.55 -> libavutil.so.55.78.100 -rw-r--r-- 1 root root 487K May 18 20:01 libavutil.so.55.78.100 -rw-r--r-- 1 root root 1.3M Oct 20 2021 libbfd-2.30-system.so lrwxrwxrwx 1 root root 44 Aug 16 08:54 libblas.a -> /etc/alternatives/libblas.a-x86_64-linux-gnu lrwxrwxrwx 1 root root 45 Aug 16 08:54 libblas.so -> /etc/alternatives/libblas.so-x86_64-linux-gnu lrwxrwxrwx 1 root root 47 Aug 16 08:54 libblas.so.3 -> /etc/alternatives/libblas.so.3-x86_64-linux-gnu lrwxrwxrwx 1 root root 18 Apr 3 2018 libbluray.so.2 -> libbluray.so.2.0.2 -rw-r--r-- 1 root root 319K Apr 3 2018 libbluray.so.2.0.2 -rw-r--r-- 1 root root 5.3M May 3 10:19 libc.a -rw-r--r-- 1 root root 298 May 3 10:19 libc.so -rw-r--r-- 1 root root 20K May 3 10:19 libc_nonshared.a lrwxrwxrwx 1 root root 29 Jan 22 2019 libcairo-gobject.so.2 -> libcairo-gobject.so.2.11510.0 -rw-r--r-- 1 root root 34K Jan 22 2019 libcairo-gobject.so.2.11510.0 lrwxrwxrwx 1 root root 21 Jan 22 2019 libcairo.so.2 -> libcairo.so.2.11510.0 -rw-r--r-- 1 root root 1.2M Jan 22 2019 libcairo.so.2.11510.0 lrwxrwxrwx 1 root root 15 Mar 10 2020 libcc1.so.0 -> libcc1.so.0.0.0 -rw-r--r-- 1 root root 116K Mar 10 2020 libcc1.so.0.0.0 lrwxrwxrwx 1 root root 15 Mar 24 2018 libcdt.so -> libcdt.so.5.0.0 lrwxrwxrwx 1 root root 15 Mar 24 2018 libcdt.so.5 -> libcdt.so.5.0.0 -rw-r--r-- 1 root root 27K Mar 24 2018 libcdt.so.5.0.0 lrwxrwxrwx 1 root root 18 Mar 24 2018 libcgraph.so -> libcgraph.so.6.0.0 lrwxrwxrwx 1 root root 18 Mar 24 2018 libcgraph.so.6 -> libcgraph.so.6.0.0 -rw-r--r-- 1 root root 88K Mar 24 2018 libcgraph.so.6.0.0 lrwxrwxrwx 1 root root 23 Feb 7 2018 libchromaprint.so.1 -> libchromaprint.so.1.4.3 -rw-r--r-- 1 root root 75K Feb 7 2018 libchromaprint.so.1.4.3 lrwxrwxrwx 1 root root 34 May 3 10:19 libcidn.so -> /lib/x86_64-linux-gnu/libcidn.so.1 lrwxrwxrwx 1 root root 19 Dec 4 2019 libcilkrts.so.5 -> libcilkrts.so.5.0.0 -rw-r--r-- 1 root root 117K Dec 4 2019 libcilkrts.so.5.0.0 lrwxrwxrwx 1 root root 18 Jul 23 2017 libcolord.so.2 -> libcolord.so.2.0.5 -rw-r--r-- 1 root root 126K Jul 23 2017 libcolord.so.2.0.5 lrwxrwxrwx 1 root root 25 Jul 23 2017 libcolordprivate.so.2 -> libcolordprivate.so.2.0.5 -rw-r--r-- 1 root root 188K Jul 23 2017 libcolordprivate.so.2.0.5 lrwxrwxrwx 1 root root 21 Dec 16 2017 libcroco-0.6.so.3 -> libcroco-0.6.so.3.0.1 -rw-r--r-- 1 root root 235K Dec 16 2017 libcroco-0.6.so.3.0.1 -rw-r--r-- 1 root root 61K May 3 10:19 libcrypt.a lrwxrwxrwx 1 root root 35 May 3 10:19 libcrypt.so -> /lib/x86_64-linux-gnu/libcrypt.so.1 -rw-r--r-- 1 root root 2.8M May 3 17:51 libcrypto.so.1.1 lrwxrwxrwx 1 root root 19 Mar 13 2017 libcrystalhd.so.3 -> libcrystalhd.so.3.6 -rw-r--r-- 1 root root 109K Mar 13 2017 libcrystalhd.so.3.6 lrwxrwxrwx 1 root root 15 Aug 9 2019 libcublas.so -> libcublas.so.10 lrwxrwxrwx 1 root root 23 Aug 9 2019 libcublas.so.10 -> libcublas.so.10.2.1.243 -rw-r--r-- 1 root root 60M Aug 9 2019 libcublas.so.10.2.1.243 lrwxrwxrwx 1 root root 17 Aug 9 2019 libcublasLt.so -> libcublasLt.so.10 lrwxrwxrwx 1 root root 25 Aug 9 2019 libcublasLt.so.10 -> libcublasLt.so.10.2.1.243 -rw-r--r-- 1 root root 29M Aug 9 2019 libcublasLt.so.10.2.1.243 -rw-r--r-- 1 root root 32M Aug 9 2019 libcublasLt_static.a -rw-r--r-- 1 root root 72M Aug 9 2019 libcublas_static.a lrwxrwxrwx 1 root root 29 May 28 20:19 libcudnn.so -> /etc/alternatives/libcudnn_so lrwxrwxrwx 1 root root 17 Oct 27 2019 libcudnn.so.7 -> libcudnn.so.7.6.5 -rw-r--r-- 1 root root 409M Oct 27 2019 libcudnn.so.7.6.5 lrwxrwxrwx 1 root root 32 May 28 20:19 libcudnn_static.a -> /etc/alternatives/libcudnn_stlib -rw-r--r-- 1 root root 386M Oct 27 2019 libcudnn_static_v7.a -rw-r--r-- 1 root root 558K May 27 15:03 libcups.so.2 lrwxrwxrwx 1 root root 19 Jun 22 16:00 libcurl-gnutls.so.3 -> libcurl-gnutls.so.4 lrwxrwxrwx 1 root root 23 Jun 22 16:00 libcurl-gnutls.so.4 -> libcurl-gnutls.so.4.5.0 -rw-r--r-- 1 root root 515K Jun 22 16:00 libcurl-gnutls.so.4.5.0 lrwxrwxrwx 1 root root 16 Jun 22 16:00 libcurl.so.4 -> libcurl.so.4.5.0 -rw-r--r-- 1 root root 519K Jun 22 16:00 libcurl.so.4.5.0 lrwxrwxrwx 1 root root 16 Feb 20 2018 libdap.so.25 -> libdap.so.25.0.1 -rw-r--r-- 1 root root 1.6M Feb 20 2018 libdap.so.25.0.1 lrwxrwxrwx 1 root root 21 Feb 20 2018 libdapclient.so.6 -> libdapclient.so.6.1.7 -rw-r--r-- 1 root root 259K Feb 20 2018 libdapclient.so.6.1.7 lrwxrwxrwx 1 root root 18 Feb 14 2018 libdatrie.so.1 -> libdatrie.so.1.3.3 -rw-r--r-- 1 root root 26K Feb 14 2018 libdatrie.so.1.3.3 -rw-r--r-- 1 root root 1.7M Jun 3 2019 libdb-5.3.so -rw-r--r-- 1 root root 365K Jan 15 2017 libdc1394.a lrwxrwxrwx 1 root root 19 Jan 15 2017 libdc1394.so -> libdc1394.so.22.2.1 lrwxrwxrwx 1 root root 19 Jan 15 2017 libdc1394.so.22 -> libdc1394.so.22.2.1 -rw-r--r-- 1 root root 216K Jan 15 2017 libdc1394.so.22.2.1 lrwxrwxrwx 1 root root 17 Mar 29 2018 libdconf.so.1 -> libdconf.so.1.0.0 -rw-r--r-- 1 root root 56K Mar 29 2018 libdconf.so.1.0.0 lrwxrwxrwx 1 root root 25 Jun 8 2016 libdebconfclient.so.0 -> libdebconfclient.so.0.0.0 -rw-r--r-- 1 root root 11K Jun 8 2016 libdebconfclient.so.0.0.0 -rw-r--r-- 1 root root 12K May 3 10:19 libdl.a lrwxrwxrwx 1 root root 32 May 3 10:19 libdl.so -> /lib/x86_64-linux-gnu/libdl.so.2 lrwxrwxrwx 1 root root 15 May 11 2020 libdrm.so.2 -> libdrm.so.2.4.0 -rw-r--r-- 1 root root 67K May 11 2020 libdrm.so.2.4.0 lrwxrwxrwx 1 root root 22 May 11 2020 libdrm_amdgpu.so.1 -> libdrm_amdgpu.so.1.0.0 -rw-r--r-- 1 root root 39K May 11 2020 libdrm_amdgpu.so.1.0.0 lrwxrwxrwx 1 root root 21 May 11 2020 libdrm_intel.so.1 -> libdrm_intel.so.1.0.0 -rw-r--r-- 1 root root 140K May 11 2020 libdrm_intel.so.1.0.0 lrwxrwxrwx 1 root root 23 May 11 2020 libdrm_nouveau.so.2 -> libdrm_nouveau.so.2.0.0 -rw-r--r-- 1 root root 31K May 11 2020 libdrm_nouveau.so.2.0.0 lrwxrwxrwx 1 root root 22 May 11 2020 libdrm_radeon.so.1 -> libdrm_radeon.so.1.0.1 -rw-r--r-- 1 root root 47K May 11 2020 libdrm_radeon.so.1.0.1 lrwxrwxrwx 1 root root 17 Jun 19 2017 libedit.so.2 -> libedit.so.2.0.56 -rw-r--r-- 1 root root 204K Jun 19 2017 libedit.so.2.0.56 -rw-r--r-- 1 root root 103K Jun 7 2019 libelf-0.170.so lrwxrwxrwx 1 root root 15 Jun 7 2019 libelf.so.1 -> libelf-0.170.so lrwxrwxrwx 1 root root 17 Nov 13 2017 libepoxy.so.0 -> libepoxy.so.0.0.0 -rw-r--r-- 1 root root 1.1M Nov 13 2017 libepoxy.so.0.0.0 lrwxrwxrwx 1 root root 19 Apr 27 2016 libepsilon.so.1 -> libepsilon.so.1.0.0 -rw-r--r-- 1 root root 97K Apr 27 2016 libepsilon.so.1.0.0 -rw-r--r-- 1 root root 400K Nov 6 2020 libexif.a lrwxrwxrwx 1 root root 17 Nov 6 2020 libexif.so -> libexif.so.12.3.3 lrwxrwxrwx 1 root root 17 Nov 6 2020 libexif.so.12 -> libexif.so.12.3.3 -rw-r--r-- 1 root root 274K Nov 6 2020 libexif.so.12.3.3 lrwxrwxrwx 1 root root 18 Mar 8 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 Jul 6 11:25 libfreebl3.chk -> nss/libfreebl3.chk lrwxrwxrwx 1 root root 17 Jul 6 11:25 libfreebl3.so -> nss/libfreebl3.so lrwxrwxrwx 1 root root 22 Jul 6 11:25 libfreeblpriv3.chk -> nss/libfreeblpriv3.chk lrwxrwxrwx 1 root root 21 Jul 6 11:25 libfreeblpriv3.so -> nss/libfreeblpriv3.so lrwxrwxrwx 1 root root 21 Jul 19 16:39 libfreetype.so.6 -> libfreetype.so.6.15.0 -rw-r--r-- 1 root root 719K Jul 19 16:39 libfreetype.so.6.15.0 lrwxrwxrwx 1 root root 18 Feb 22 2018 libfreexl.so.1 -> libfreexl.so.1.1.0 -rw-r--r-- 1 root root 34K Feb 22 2018 libfreexl.so.1.1.0 lrwxrwxrwx 1 root root 16 Aug 19 2016 libfyba.so.0 -> libfyba.so.0.0.0 -rw-r--r-- 1 root root 215K Aug 19 2016 libfyba.so.0.0.0 lrwxrwxrwx 1 root root 16 Aug 19 2016 libfygm.so.0 -> libfygm.so.0.0.0 -rw-r--r-- 1 root root 27K Aug 19 2016 libfygm.so.0.0.0 lrwxrwxrwx 1 root root 16 Aug 19 2016 libfyut.so.0 -> libfyut.so.0.0.0 -rw-r--r-- 1 root root 35K Aug 19 2016 libfyut.so.0.0.0 -rw-r--r-- 1 root root 1.2K May 3 10:19 libg.a lrwxrwxrwx 1 root root 14 Aug 30 2021 libgd.so.3 -> libgd.so.3.0.5 -rw-r--r-- 1 root root 397K Aug 30 2021 libgd.so.3.0.5 lrwxrwxrwx 1 root root 16 Mar 14 2018 libgdbm.so.5 -> libgdbm.so.5.0.0 -rw-r--r-- 1 root root 51K Mar 14 2018 libgdbm.so.5.0.0 lrwxrwxrwx 1 root root 23 Mar 14 2018 libgdbm_compat.so.4 -> libgdbm_compat.so.4.0.0 -rw-r--r-- 1 root root 14K Mar 14 2018 libgdbm_compat.so.4.0.0 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmCommon.so -> libgdcmCommon.so.2.8 lrwxrwxrwx 1 root root 22 Feb 5 2018 libgdcmCommon.so.2.8 -> libgdcmCommon.so.2.8.4 -rw-r--r-- 1 root root 155K Feb 5 2018 libgdcmCommon.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmDICT.so -> libgdcmDICT.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmDICT.so.2.8 -> libgdcmDICT.so.2.8.4 -rw-r--r-- 1 root root 2.4M Feb 5 2018 libgdcmDICT.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmDSED.so -> libgdcmDSED.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmDSED.so.2.8 -> libgdcmDSED.so.2.8.4 -rw-r--r-- 1 root root 1.1M Feb 5 2018 libgdcmDSED.so.2.8.4 lrwxrwxrwx 1 root root 17 Feb 5 2018 libgdcmIOD.so -> libgdcmIOD.so.2.8 lrwxrwxrwx 1 root root 19 Feb 5 2018 libgdcmIOD.so.2.8 -> libgdcmIOD.so.2.8.4 -rw-r--r-- 1 root root 87K Feb 5 2018 libgdcmIOD.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmMEXD.so -> libgdcmMEXD.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmMEXD.so.2.8 -> libgdcmMEXD.so.2.8.4 -rw-r--r-- 1 root root 1.1M Feb 5 2018 libgdcmMEXD.so.2.8.4 lrwxrwxrwx 1 root root 18 Feb 5 2018 libgdcmMSFF.so -> libgdcmMSFF.so.2.8 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmMSFF.so.2.8 -> libgdcmMSFF.so.2.8.4 -rw-r--r-- 1 root root 2.6M Feb 5 2018 libgdcmMSFF.so.2.8.4 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmjpeg12.so -> libgdcmjpeg12.so.2.8 lrwxrwxrwx 1 root root 22 Feb 5 2018 libgdcmjpeg12.so.2.8 -> libgdcmjpeg12.so.2.8.4 -rw-r--r-- 1 root root 158K Feb 5 2018 libgdcmjpeg12.so.2.8.4 lrwxrwxrwx 1 root root 20 Feb 5 2018 libgdcmjpeg16.so -> libgdcmjpeg16.so.2.8 lrwxrwxrwx 1 root root 22 Feb 5 2018 libgdcmjpeg16.so.2.8 -> libgdcmjpeg16.so.2.8.4 -rw-r--r-- 1 root root 158K Feb 5 2018 libgdcmjpeg16.so.2.8.4 lrwxrwxrwx 1 root root 19 Feb 5 2018 libgdcmjpeg8.so -> libgdcmjpeg8.so.2.8 lrwxrwxrwx 1 root root 21 Feb 5 2018 libgdcmjpeg8.so.2.8 -> libgdcmjpeg8.so.2.8.4 -rw-r--r-- 1 root root 158K Feb 5 2018 libgdcmjpeg8.so.2.8.4 lrwxrwxrwx 1 root root 21 Jun 5 2019 libgdk-3.so.0 -> libgdk-3.so.0.2200.30 -rw-r--r-- 1 root root 981K Jun 5 2019 libgdk-3.so.0.2200.30 lrwxrwxrwx 1 root root 27 Mar 24 2018 libgdk-x11-2.0.so.0 -> libgdk-x11-2.0.so.0.2400.32 -rw-r--r-- 1 root root 724K Mar 24 2018 libgdk-x11-2.0.so.0.2400.32 lrwxrwxrwx 1 root root 29 Mar 16 2018 libgdk_pixbuf-2.0.so.0 -> libgdk_pixbuf-2.0.so.0.3611.0 -rw-r--r-- 1 root root 144K Mar 16 2018 libgdk_pixbuf-2.0.so.0.3611.0 lrwxrwxrwx 1 root root 34 Mar 16 2018 libgdk_pixbuf_xlib-2.0.so.0 -> libgdk_pixbuf_xlib-2.0.so.0.3611.0 -rw-r--r-- 1 root root 67K Mar 16 2018 libgdk_pixbuf_xlib-2.0.so.0.3611.0 -rw-r--r-- 1 root root 1.6M Mar 1 2018 libgeos-3.6.2.so lrwxrwxrwx 1 root root 19 Mar 1 2018 libgeos_c.so.1 -> libgeos_c.so.1.10.2 -rw-r--r-- 1 root root 187K Mar 1 2018 libgeos_c.so.1.10.2 lrwxrwxrwx 1 root root 19 Nov 17 2016 libgeotiff.so.2 -> libgeotiff.so.2.1.2 -rw-r--r-- 1 root root 215K Nov 17 2016 libgeotiff.so.2.1.2 lrwxrwxrwx 1 root root 20 Dec 4 2019 libgfortran.so.4 -> libgfortran.so.4.0.0 -rw-r--r-- 1 root root 1.9M Dec 4 2019 libgfortran.so.4.0.0 lrwxrwxrwx 1 root root 15 Aug 19 2019 libgif.so.7 -> libgif.so.7.0.0 -rw-r--r-- 1 root root 34K Aug 19 2019 libgif.so.7.0.0 -rw-r--r-- 1 root root 4.0M Nov 29 2021 libgio-2.0.a lrwxrwxrwx 1 root root 22 Nov 29 2021 libgio-2.0.so -> libgio-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 22 Nov 29 2021 libgio-2.0.so.0 -> libgio-2.0.so.0.5600.4 -rw-r--r-- 1 root root 1.7M Nov 29 2021 libgio-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 28 Apr 15 2018 libgirepository-1.0.so.1 -> libgirepository-1.0.so.1.0.0 -rw-r--r-- 1 root root 208K Apr 15 2018 libgirepository-1.0.so.1.0.0 lrwxrwxrwx 1 root root 17 Sep 27 2017 libgl2ps.so.1.4 -> libgl2ps.so.1.4.0 -rw-r--r-- 1 root root 79K Sep 27 2017 libgl2ps.so.1.4.0 lrwxrwxrwx 1 root root 17 Jun 12 2020 libglapi.so.0 -> libglapi.so.0.0.0 -rw-r--r-- 1 root root 215K Jun 12 2020 libglapi.so.0.0.0 -rw-r--r-- 1 root root 2.0M Nov 29 2021 libglib-2.0.a lrwxrwxrwx 1 root root 23 Nov 29 2021 libglib-2.0.so -> libglib-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 23 Nov 29 2021 libglib-2.0.so.0 -> libglib-2.0.so.0.5600.4 -rw-r--r-- 1 root root 1.1M Nov 29 2021 libglib-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 15 Dec 7 2017 libgme.so.0 -> libgme.so.0.6.2 -rw-r--r-- 1 root root 303K Dec 7 2017 libgme.so.0.6.2 -rw-r--r-- 1 root root 16K Nov 29 2021 libgmodule-2.0.a lrwxrwxrwx 1 root root 26 Nov 29 2021 libgmodule-2.0.so -> libgmodule-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 26 Nov 29 2021 libgmodule-2.0.so.0 -> libgmodule-2.0.so.0.5600.4 -rw-r--r-- 1 root root 14K Nov 29 2021 libgmodule-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 16 Jan 24 2018 libgmp.so.10 -> libgmp.so.10.3.2 -rw-r--r-- 1 root root 515K Jan 24 2018 libgmp.so.10.3.2 lrwxrwxrwx 1 root root 21 Aug 25 2021 libgnutls.so.30 -> libgnutls.so.30.14.10 -rw-r--r-- 1 root root 1.4M Aug 25 2021 libgnutls.so.30.14.10 -rw-r--r-- 1 root root 667K Nov 29 2021 libgobject-2.0.a lrwxrwxrwx 1 root root 26 Nov 29 2021 libgobject-2.0.so -> libgobject-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 26 Nov 29 2021 libgobject-2.0.so.0 -> libgobject-2.0.so.0.5600.4 -rw-r--r-- 1 root root 335K Nov 29 2021 libgobject-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 16 Mar 10 2020 libgomp.so.1 -> libgomp.so.1.0.0 -rw-r--r-- 1 root root 188K Mar 10 2020 libgomp.so.1.0.0 drwxr-xr-x 3 root root 4.0K Aug 16 08:53 libgphoto2 drwxr-xr-x 3 root root 4.0K Aug 16 08:53 libgphoto2-dev -rw-r--r-- 1 root root 262K Dec 23 2017 libgphoto2.a lrwxrwxrwx 1 root root 19 Dec 23 2017 libgphoto2.so -> libgphoto2.so.6.0.0 lrwxrwxrwx 1 root root 19 Dec 23 2017 libgphoto2.so.6 -> libgphoto2.so.6.0.0 -rw-r--r-- 1 root root 143K Dec 23 2017 libgphoto2.so.6.0.0 drwxr-xr-x 3 root root 4.0K Aug 16 08:53 libgphoto2_port -rw-r--r-- 1 root root 79K Dec 23 2017 libgphoto2_port.a lrwxrwxrwx 1 root root 25 Dec 23 2017 libgphoto2_port.so -> libgphoto2_port.so.12.0.0 lrwxrwxrwx 1 root root 25 Dec 23 2017 libgphoto2_port.so.12 -> libgphoto2_port.so.12.0.0 -rw-r--r-- 1 root root 43K Dec 23 2017 libgphoto2_port.so.12.0.0 lrwxrwxrwx 1 root root 17 Mar 11 2018 libgraphite2.so -> libgraphite2.so.3 lrwxrwxrwx 1 root root 17 Mar 11 2018 libgraphite2.so.2.0.0 -> libgraphite2.so.3 lrwxrwxrwx 1 root root 21 Mar 11 2018 libgraphite2.so.3 -> libgraphite2.so.3.0.1 -rw-r--r-- 1 root root 179K Mar 11 2018 libgraphite2.so.3.0.1 lrwxrwxrwx 1 root root 16 Apr 3 2018 libgsm.so.1 -> libgsm.so.1.0.12 -rw-r--r-- 1 root root 51K Apr 3 2018 libgsm.so.1.0.12 lrwxrwxrwx 1 root root 18 Dec 15 2017 libgssapi.so.3 -> libgssapi.so.3.0.0 -rw-r--r-- 1 root root 260K Dec 15 2017 libgssapi.so.3.0.0 lrwxrwxrwx 1 root root 21 Nov 11 2020 libgssapi_krb5.so.2 -> libgssapi_krb5.so.2.2 -rw-r--r-- 1 root root 299K Nov 11 2020 libgssapi_krb5.so.2.2 -rw-r--r-- 1 root root 2.7K Nov 29 2021 libgthread-2.0.a lrwxrwxrwx 1 root root 26 Nov 29 2021 libgthread-2.0.so -> libgthread-2.0.so.0.5600.4 lrwxrwxrwx 1 root root 26 Nov 29 2021 libgthread-2.0.so.0 -> libgthread-2.0.so.0.5600.4 -rw-r--r-- 1 root root 5.9K Nov 29 2021 libgthread-2.0.so.0.5600.4 drwxr-xr-x 2 root root 4.0K Aug 16 08:53 libgtk-3-0 lrwxrwxrwx 1 root root 21 Jun 5 2019 libgtk-3.so.0 -> libgtk-3.so.0.2200.30 -rw-r--r-- 1 root root 7.1M Jun 5 2019 libgtk-3.so.0.2200.30 lrwxrwxrwx 1 root root 27 Mar 24 2018 libgtk-x11-2.0.so.0 -> libgtk-x11-2.0.so.0.2400.32 -rw-r--r-- 1 root root 4.3M Mar 24 2018 libgtk-x11-2.0.so.0.2400.32 drwxr-xr-x 2 root root 4.0K Aug 16 08:53 libgtk2.0-0 lrwxrwxrwx 1 root root 19 Feb 3 2017 libgts-0.7.so.5 -> libgts-0.7.so.5.0.1 -rw-r--r-- 1 root root 371K Feb 3 2017 libgts-0.7.so.5.0.1 lrwxrwxrwx 1 root root 15 Mar 24 2018 libgvc.so -> libgvc.so.6.0.0 lrwxrwxrwx 1 root root 15 Mar 24 2018 libgvc.so.6 -> libgvc.so.6.0.0 -rw-r--r-- 1 root root 613K Mar 24 2018 libgvc.so.6.0.0 lrwxrwxrwx 1 root root 16 Mar 24 2018 libgvpr.so -> libgvpr.so.2.0.0 lrwxrwxrwx 1 root root 16 Mar 24 2018 libgvpr.so.2 -> libgvpr.so.2.0.0 -rw-r--r-- 1 root root 480K Mar 24 2018 libgvpr.so.2.0.0 -rw-r--r-- 1 root root 67K Apr 13 2018 libharfbuzz-gobject.a lrwxrwxrwx 1 root root 32 Apr 13 2018 libharfbuzz-gobject.so -> libharfbuzz-gobject.so.0.10702.0 lrwxrwxrwx 1 root root 32 Apr 13 2018 libharfbuzz-gobject.so.0 -> libharfbuzz-gobject.so.0.10702.0 -rw-r--r-- 1 root root 55K Apr 13 2018 libharfbuzz-gobject.so.0.10702.0 -rw-r--r-- 1 root root 7.0K Apr 13 2018 libharfbuzz-icu.a lrwxrwxrwx 1 root root 28 Apr 13 2018 libharfbuzz-icu.so -> libharfbuzz-icu.so.0.10702.0 lrwxrwxrwx 1 root root 28 Apr 13 2018 libharfbuzz-icu.so.0 -> libharfbuzz-icu.so.0.10702.0 -rw-r--r-- 1 root root 11K Apr 13 2018 libharfbuzz-icu.so.0.10702.0 -rw-r--r-- 1 root root 965K Apr 13 2018 libharfbuzz.a lrwxrwxrwx 1 root root 24 Apr 13 2018 libharfbuzz.so -> libharfbuzz.so.0.10702.0 lrwxrwxrwx 1 root root 24 Apr 13 2018 libharfbuzz.so.0 -> libharfbuzz.so.0.10702.0 -rw-r--r-- 1 root root 631K Apr 13 2018 libharfbuzz.so.0.10702.0 lrwxrwxrwx 1 root root 19 Dec 15 2017 libhcrypto.so.4 -> libhcrypto.so.4.1.0 -rw-r--r-- 1 root root 213K Dec 15 2017 libhcrypto.so.4.1.0 lrwxrwxrwx 1 root root 26 Aug 13 2017 libhdf5_openmpi.so.100 -> libhdf5_openmpi.so.100.0.1 -rw-r--r-- 1 root root 3.5M Aug 13 2017 libhdf5_openmpi.so.100.0.1 lrwxrwxrwx 1 root root 34 Aug 13 2017 libhdf5_openmpi_fortran.so.100 -> libhdf5_openmpi_fortran.so.100.0.1 -rw-r--r-- 1 root root 249K Aug 13 2017 libhdf5_openmpi_fortran.so.100.0.1 lrwxrwxrwx 1 root root 29 Aug 13 2017 libhdf5_openmpi_hl.so.100 -> libhdf5_openmpi_hl.so.100.0.0 -rw-r--r-- 1 root root 136K Aug 13 2017 libhdf5_openmpi_hl.so.100.0.0 lrwxrwxrwx 1 root root 36 Aug 13 2017 libhdf5_openmpihl_fortran.so.100 -> libhdf5_openmpihl_fortran.so.100.0.0 -rw-r--r-- 1 root root 119K Aug 13 2017 libhdf5_openmpihl_fortran.so.100.0.0 lrwxrwxrwx 1 root root 25 Aug 13 2017 libhdf5_serial.so.100 -> libhdf5_serial.so.100.0.1 -rw-r--r-- 1 root root 3.4M Aug 13 2017 libhdf5_serial.so.100.0.1 lrwxrwxrwx 1 root root 33 Aug 13 2017 libhdf5_serial_fortran.so.100 -> libhdf5_serial_fortran.so.100.0.1 -rw-r--r-- 1 root root 245K Aug 13 2017 libhdf5_serial_fortran.so.100.0.1 lrwxrwxrwx 1 root root 28 Aug 13 2017 libhdf5_serial_hl.so.100 -> libhdf5_serial_hl.so.100.0.0 -rw-r--r-- 1 root root 136K Aug 13 2017 libhdf5_serial_hl.so.100.0.0 lrwxrwxrwx 1 root root 35 Aug 13 2017 libhdf5_serialhl_fortran.so.100 -> libhdf5_serialhl_fortran.so.100.0.0 -rw-r--r-- 1 root root 119K Aug 13 2017 libhdf5_serialhl_fortran.so.100.0.0 lrwxrwxrwx 1 root root 20 Dec 15 2017 libheimbase.so.1 -> libheimbase.so.1.0.0 -rw-r--r-- 1 root root 59K Dec 15 2017 libheimbase.so.1.0.0 lrwxrwxrwx 1 root root 20 Dec 15 2017 libheimntlm.so.0 -> libheimntlm.so.0.1.0 -rw-r--r-- 1 root root 35K Dec 15 2017 libheimntlm.so.0.1.0 lrwxrwxrwx 1 root root 17 Jun 14 2021 libhogweed.so.4 -> libhogweed.so.4.5 -rw-r--r-- 1 root root 215K Jun 14 2021 libhogweed.so.4.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.0 -> libhwloc.so.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.1 -> libhwloc.so.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.2 -> libhwloc.so.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.3 -> libhwloc.so.5 lrwxrwxrwx 1 root root 13 Jan 19 2018 libhwloc.so.4 -> libhwloc.so.5 lrwxrwxrwx 1 root root 17 Jan 19 2018 libhwloc.so.5 -> libhwloc.so.5.7.6 -rw-r--r-- 1 root root 244K Jan 19 2018 libhwloc.so.5.7.6 lrwxrwxrwx 1 root root 17 Dec 15 2017 libhx509.so.5 -> libhx509.so.5.0.0 -rw-r--r-- 1 root root 294K Dec 15 2017 libhx509.so.5.0.0 lrwxrwxrwx 1 root root 22 Aug 5 2019 libibverbs.so.1 -> libibverbs.so.1.1.17.1 -rw-r--r-- 1 root root 87K Aug 5 2019 libibverbs.so.1.1.17.1 -rw-r--r-- 1 root root 55K Dec 9 2017 libicu-le-hb.a lrwxrwxrwx 1 root root 21 Dec 9 2017 libicu-le-hb.so -> libicu-le-hb.so.0.0.0 lrwxrwxrwx 1 root root 21 Dec 9 2017 libicu-le-hb.so.0 -> libicu-le-hb.so.0.0.0 -rw-r--r-- 1 root root 35K Dec 9 2017 libicu-le-hb.so.0.0.0 -rw-r--r-- 1 root root 26M Oct 19 2021 libicudata.a lrwxrwxrwx 1 root root 18 Oct 19 2021 libicudata.so -> libicudata.so.60.2 lrwxrwxrwx 1 root root 18 Oct 19 2021 libicudata.so.60 -> libicudata.so.60.2 -rw-r--r-- 1 root root 26M Oct 19 2021 libicudata.so.60.2 -rw-r--r-- 1 root root 5.9M Oct 19 2021 libicui18n.a lrwxrwxrwx 1 root root 18 Oct 19 2021 libicui18n.so -> libicui18n.so.60.2 lrwxrwxrwx 1 root root 18 Oct 19 2021 libicui18n.so.60 -> libicui18n.so.60.2 -rw-r--r-- 1 root root 2.7M Oct 19 2021 libicui18n.so.60.2 -rw-r--r-- 1 root root 85K Oct 19 2021 libicuio.a lrwxrwxrwx 1 root root 16 Oct 19 2021 libicuio.so -> libicuio.so.60.2 lrwxrwxrwx 1 root root 16 Oct 19 2021 libicuio.so.60 -> libicuio.so.60.2 -rw-r--r-- 1 root root 55K Oct 19 2021 libicuio.so.60.2 -rw-r--r-- 1 root root 75K Oct 19 2021 libiculx.a lrwxrwxrwx 1 root root 16 Oct 19 2021 libiculx.so -> libiculx.so.60.2 lrwxrwxrwx 1 root root 16 Oct 19 2021 libiculx.so.60 -> libiculx.so.60.2 -rw-r--r-- 1 root root 47K Oct 19 2021 libiculx.so.60.2 -rw-r--r-- 1 root root 109K Oct 19 2021 libicutest.a lrwxrwxrwx 1 root root 18 Oct 19 2021 libicutest.so -> libicutest.so.60.2 lrwxrwxrwx 1 root root 18 Oct 19 2021 libicutest.so.60 -> libicutest.so.60.2 -rw-r--r-- 1 root root 64K Oct 19 2021 libicutest.so.60.2 -rw-r--r-- 1 root root 359K Oct 19 2021 libicutu.a lrwxrwxrwx 1 root root 16 Oct 19 2021 libicutu.so -> libicutu.so.60.2 lrwxrwxrwx 1 root root 16 Oct 19 2021 libicutu.so.60 -> libicutu.so.60.2 -rw-r--r-- 1 root root 199K Oct 19 2021 libicutu.so.60.2 -rw-r--r-- 1 root root 3.1M Oct 19 2021 libicuuc.a lrwxrwxrwx 1 root root 16 Oct 19 2021 libicuuc.so -> libicuuc.so.60.2 lrwxrwxrwx 1 root root 16 Oct 19 2021 libicuuc.so.60 -> libicuuc.so.60.2 -rw-r--r-- 1 root root 1.8M Oct 19 2021 libicuuc.so.60.2 lrwxrwxrwx 1 root root 16 Oct 24 2019 libidn2.so.0 -> libidn2.so.0.3.3 -rw-r--r-- 1 root root 114K Oct 24 2019 libidn2.so.0.3.3 lrwxrwxrwx 1 root root 20 Jan 14 2018 libinfinipath.so.4 -> libinfinipath.so.4.0 -rw-r--r-- 1 root root 59K Jan 14 2018 libinfinipath.so.4.0 lrwxrwxrwx 1 root root 16 Mar 9 2018 libisl.so.19 -> libisl.so.19.0.0 -rw-r--r-- 1 root root 1.6M Mar 9 2018 libisl.so.19.0.0 lrwxrwxrwx 1 root root 15 Mar 10 2020 libitm.so.1 -> libitm.so.1.0.0 -rw-r--r-- 1 root root 111K Mar 10 2020 libitm.so.1.0.0 -rw-r--r-- 1 root root 51K Apr 3 2018 libjbig.a lrwxrwxrwx 1 root root 12 Apr 3 2018 libjbig.so -> libjbig.so.0 -rw-r--r-- 1 root root 57K Apr 3 2018 libjbig.so.0 -rw-r--r-- 1 root root 579K Jun 4 2020 libjpeg.a lrwxrwxrwx 1 root root 16 Jun 4 2020 libjpeg.so -> libjpeg.so.8.1.2 lrwxrwxrwx 1 root root 16 Jun 4 2020 libjpeg.so.8 -> libjpeg.so.8.1.2 -rw-r--r-- 1 root root 415K Jun 4 2020 libjpeg.so.8.1.2 lrwxrwxrwx 1 root root 27 Apr 6 2020 libjson-glib-1.0.so.0 -> libjson-glib-1.0.so.0.400.2 -rw-r--r-- 1 root root 154K Apr 6 2020 libjson-glib-1.0.so.0.400.2 lrwxrwxrwx 1 root root 19 Aug 23 2016 libjsoncpp.so.1 -> libjsoncpp.so.1.7.4 -rw-r--r-- 1 root root 199K Aug 23 2016 libjsoncpp.so.1.7.4 lrwxrwxrwx 1 root root 18 Nov 11 2020 libk5crypto.so.3 -> libk5crypto.so.3.1 -rw-r--r-- 1 root root 195K Nov 11 2020 libk5crypto.so.3.1 lrwxrwxrwx 1 root root 19 Sep 25 2017 libkmlbase.so.1 -> libkmlbase.so.1.3.0 -rw-r--r-- 1 root root 107K Sep 25 2017 libkmlbase.so.1.3.0 lrwxrwxrwx 1 root root 18 Sep 25 2017 libkmldom.so.1 -> libkmldom.so.1.3.0 -rw-r--r-- 1 root root 731K Sep 25 2017 libkmldom.so.1.3.0 lrwxrwxrwx 1 root root 21 Sep 25 2017 libkmlengine.so.1 -> libkmlengine.so.1.3.0 -rw-r--r-- 1 root root 223K Sep 25 2017 libkmlengine.so.1.3.0 lrwxrwxrwx 1 root root 17 Dec 15 2017 libkrb5.so.26 -> libkrb5.so.26.0.0 -rw-r--r-- 1 root root 561K Dec 15 2017 libkrb5.so.26.0.0 lrwxrwxrwx 1 root root 14 Nov 11 2020 libkrb5.so.3 -> libkrb5.so.3.3 -rw-r--r-- 1 root root 857K Nov 11 2020 libkrb5.so.3.3 lrwxrwxrwx 1 root root 21 Nov 11 2020 libkrb5support.so.0 -> libkrb5support.so.0.1 -rw-r--r-- 1 root root 43K Nov 11 2020 libkrb5support.so.0.1 lrwxrwxrwx 1 root root 17 Sep 3 2016 libksba.so.8 -> libksba.so.8.11.6 -rw-r--r-- 1 root root 223K Sep 3 2016 libksba.so.8.11.6 lrwxrwxrwx 1 root root 21 Mar 24 2018 liblab_gamut.so -> liblab_gamut.so.1.0.0 lrwxrwxrwx 1 root root 21 Mar 24 2018 liblab_gamut.so.1 -> liblab_gamut.so.1.0.0 -rw-r--r-- 1 root root 2.4M Mar 24 2018 liblab_gamut.so.1.0.0 lrwxrwxrwx 1 root root 46 Aug 16 08:54 liblapack.a -> /etc/alternatives/liblapack.a-x86_64-linux-gnu lrwxrwxrwx 1 root root 47 Aug 16 08:54 liblapack.so -> /etc/alternatives/liblapack.so-x86_64-linux-gnu lrwxrwxrwx 1 root root 49 Aug 16 08:54 liblapack.so.3 -> /etc/alternatives/liblapack.so.3-x86_64-linux-gnu lrwxrwxrwx 1 root root 21 May 12 13:52 liblber-2.4.so.2 -> liblber-2.4.so.2.10.8 -rw-r--r-- 1 root root 55K May 12 13:52 liblber-2.4.so.2.10.8 lrwxrwxrwx 1 root root 17 Sep 20 2018 liblcms2.so.2 -> liblcms2.so.2.0.8 -rw-r--r-- 1 root root 349K Sep 20 2018 liblcms2.so.2.0.8 lrwxrwxrwx 1 root root 18 May 12 13:52 libldap-2.4.so.2 -> libldap_r-2.4.so.2 lrwxrwxrwx 1 root root 23 May 12 13:52 libldap_r-2.4.so.2 -> libldap_r-2.4.so.2.10.8 -rw-r--r-- 1 root root 320K May 12 13:52 libldap_r-2.4.so.2.10.8 lrwxrwxrwx 1 root root 16 Mar 2 2018 liblept.so.5 -> liblept.so.5.0.2 -rw-r--r-- 1 root root 2.4M Mar 2 2018 liblept.so.5.0.2 lrwxrwxrwx 1 root root 16 Mar 10 2020 liblsan.so.0 -> liblsan.so.0.0.0 -rw-r--r-- 1 root root 338K Mar 10 2020 liblsan.so.0.0.0 lrwxrwxrwx 1 root root 16 Aug 20 2016 libltdl.so.7 -> libltdl.so.7.3.1 -rw-r--r-- 1 root root 39K Aug 20 2016 libltdl.so.7.3.1 lrwxrwxrwx 1 root root 15 May 20 2021 liblz4.so.1 -> liblz4.so.1.7.1 -rw-r--r-- 1 root root 111K May 20 2021 liblz4.so.1.7.1 -rw-r--r-- 1 root root 261K Apr 8 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 Jul 26 11:28 libmysqlclient.so.20 -> libmysqlclient.so.20.3.26 -rw-r--r-- 1 root root 3.8M Jul 26 11:28 libmysqlclient.so.20.3.26 lrwxrwxrwx 1 root root 12 Oct 26 2020 libnccl.so -> libnccl.so.2 lrwxrwxrwx 1 root root 16 Oct 26 2020 libnccl.so.2 -> libnccl.so.2.8.3 -rw-r--r-- 1 root root 78M Oct 26 2020 libnccl.so.2.8.3 -rw-r--r-- 1 root root 95M Oct 26 2020 libnccl_static.a -rw-r--r-- 1 root root 1.1M Feb 9 2018 libnetcdf.so.13 lrwxrwxrwx 1 root root 22 Nov 9 2017 libnetcdf_c++.so.4 -> libnetcdf_c++.so.4.2.0 -rw-r--r-- 1 root root 119K Nov 9 2017 libnetcdf_c++.so.4.2.0 lrwxrwxrwx 1 root root 16 Jun 14 2021 libnettle.so.6 -> libnettle.so.6.5 -rw-r--r-- 1 root root 215K Jun 14 2021 libnettle.so.6.5 lrwxrwxrwx 1 root root 21 Apr 10 2018 libnghttp2.so.14 -> libnghttp2.so.14.15.2 -rw-r--r-- 1 root root 150K Apr 10 2018 libnghttp2.so.14.15.2 lrwxrwxrwx 1 root root 25 Jun 2 2017 libnl-route-3.so.200 -> libnl-route-3.so.200.24.0 -rw-r--r-- 1 root root 458K Jun 2 2017 libnl-route-3.so.200.24.0 lrwxrwxrwx 1 root root 16 Nov 12 2017 libnpth.so.0 -> libnpth.so.0.1.1 -rw-r--r-- 1 root root 15K Nov 12 2017 libnpth.so.0.1.1 -rw-r--r-- 1 root root 201K May 3 10:19 libnsl.a lrwxrwxrwx 1 root root 33 May 3 10:19 libnsl.so -> /lib/x86_64-linux-gnu/libnsl.so.1 -rw-r--r-- 1 root root 234K Feb 22 2018 libnspr4.so -rw-r--r-- 1 root root 1.3M Jul 6 11:25 libnss3.so lrwxrwxrwx 1 root root 40 May 3 10:19 libnss_compat.so -> /lib/x86_64-linux-gnu/libnss_compat.so.2 lrwxrwxrwx 1 root root 37 May 3 10:19 libnss_dns.so -> /lib/x86_64-linux-gnu/libnss_dns.so.2 lrwxrwxrwx 1 root root 39 May 3 10:19 libnss_files.so -> /lib/x86_64-linux-gnu/libnss_files.so.2 lrwxrwxrwx 1 root root 40 May 3 10:19 libnss_hesiod.so -> /lib/x86_64-linux-gnu/libnss_hesiod.so.2 lrwxrwxrwx 1 root root 37 May 3 10:19 libnss_nis.so -> /lib/x86_64-linux-gnu/libnss_nis.so.2 lrwxrwxrwx 1 root root 41 May 3 10:19 libnss_nisplus.so -> /lib/x86_64-linux-gnu/libnss_nisplus.so.2 -rw-r--r-- 1 root root 187K Jul 6 11:25 libnssutil3.so lrwxrwxrwx 1 root root 16 Jun 20 2018 libnuma.so.1 -> libnuma.so.1.0.0 -rw-r--r-- 1 root root 43K Jun 20 2018 libnuma.so.1.0.0 lrwxrwxrwx 1 root root 15 Aug 9 2019 libnvblas.so -> libnvblas.so.10 lrwxrwxrwx 1 root root 23 Aug 9 2019 libnvblas.so.10 -> libnvblas.so.10.2.1.243 -rw-r--r-- 1 root root 526K Aug 9 2019 libnvblas.so.10.2.1.243 lrwxrwxrwx 1 root root 12 Mar 26 2018 libodbc.so.1 -> libodbc.so.2 lrwxrwxrwx 1 root root 16 Mar 26 2018 libodbc.so.2 -> libodbc.so.2.0.0 -rw-r--r-- 1 root root 422K Mar 26 2018 libodbc.so.2.0.0 lrwxrwxrwx 1 root root 14 Mar 26 2018 libodbccr.so.1 -> libodbccr.so.2 lrwxrwxrwx 1 root root 18 Mar 26 2018 libodbccr.so.2 -> libodbccr.so.2.0.0 -rw-r--r-- 1 root root 43K Mar 26 2018 libodbccr.so.2.0.0 lrwxrwxrwx 1 root root 16 Mar 26 2018 libodbcinst.so.1 -> libodbcinst.so.2 lrwxrwxrwx 1 root root 20 Mar 26 2018 libodbcinst.so.2 -> libodbcinst.so.2.0.0 -rw-r--r-- 1 root root 71K Mar 26 2018 libodbcinst.so.2.0.0 lrwxrwxrwx 1 root root 15 Jun 2 2014 libogg.so.0 -> libogg.so.0.8.2 -rw-r--r-- 1 root root 34K Jun 2 2014 libogg.so.0.8.2 lrwxrwxrwx 1 root root 23 Feb 5 2018 libompitrace.so.20 -> libompitrace.so.20.10.0 lrwxrwxrwx 1 root root 35 Feb 5 2018 libompitrace.so.20.10.0 -> openmpi/lib/libompitrace.so.20.10.0 -rw-r--r-- 1 root root 1.7M Oct 20 2021 libopcodes-2.30-system.so lrwxrwxrwx 1 root root 22 Feb 5 2018 libopen-pal.so.20 -> libopen-pal.so.20.10.1 lrwxrwxrwx 1 root root 34 Feb 5 2018 libopen-pal.so.20.10.1 -> openmpi/lib/libopen-pal.so.20.10.1 lrwxrwxrwx 1 root root 22 Feb 5 2018 libopen-rte.so.20 -> libopen-rte.so.20.10.1 lrwxrwxrwx 1 root root 34 Feb 5 2018 libopen-rte.so.20.10.1 -> openmpi/lib/libopen-rte.so.20.10.1 lrwxrwxrwx 1 root root 22 Sep 19 2017 libopenblas.a -> libopenblasp-r0.2.20.a lrwxrwxrwx 1 root root 23 Sep 19 2017 libopenblas.so -> libopenblasp-r0.2.20.so lrwxrwxrwx 1 root root 23 Sep 19 2017 libopenblas.so.0 -> libopenblasp-r0.2.20.so -rw-r--r-- 1 root root 51M Sep 19 2017 libopenblasp-r0.2.20.a -rw-r--r-- 1 root root 33M Sep 19 2017 libopenblasp-r0.2.20.so -rw-r--r-- 1 root root 483K Sep 20 2018 libopencv_aruco.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_aruco.so -> libopencv_aruco.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_aruco.so.3.2 -> libopencv_aruco.so.3.2.0 -rw-r--r-- 1 root root 285K Sep 20 2018 libopencv_aruco.so.3.2.0 -rw-r--r-- 1 root root 116K Sep 20 2018 libopencv_bgsegm.a lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_bgsegm.so -> libopencv_bgsegm.so.3.2 lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_bgsegm.so.3.2 -> libopencv_bgsegm.so.3.2.0 -rw-r--r-- 1 root root 51K Sep 20 2018 libopencv_bgsegm.so.3.2.0 -rw-r--r-- 1 root root 449K Sep 20 2018 libopencv_bioinspired.a lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_bioinspired.so -> libopencv_bioinspired.so.3.2 lrwxrwxrwx 1 root root 30 Sep 20 2018 libopencv_bioinspired.so.3.2 -> libopencv_bioinspired.so.3.2.0 -rw-r--r-- 1 root root 171K Sep 20 2018 libopencv_bioinspired.so.3.2.0 -rw-r--r-- 1 root root 2.3M Sep 20 2018 libopencv_calib3d.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_calib3d.so -> libopencv_calib3d.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_calib3d.so.3.2 -> libopencv_calib3d.so.3.2.0 -rw-r--r-- 1 root root 1.4M Sep 20 2018 libopencv_calib3d.so.3.2.0 -rw-r--r-- 1 root root 633K Sep 20 2018 libopencv_ccalib.a lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_ccalib.so -> libopencv_ccalib.so.3.2 lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_ccalib.so.3.2 -> libopencv_ccalib.so.3.2.0 -rw-r--r-- 1 root root 363K Sep 20 2018 libopencv_ccalib.so.3.2.0 -rw-r--r-- 1 root root 4.6M Sep 20 2018 libopencv_core.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_core.so -> libopencv_core.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_core.so.3.2 -> libopencv_core.so.3.2.0 -rw-r--r-- 1 root root 2.3M Sep 20 2018 libopencv_core.so.3.2.0 -rw-r--r-- 1 root root 1.4M Sep 20 2018 libopencv_datasets.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_datasets.so -> libopencv_datasets.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_datasets.so.3.2 -> libopencv_datasets.so.3.2.0 -rw-r--r-- 1 root root 399K Sep 20 2018 libopencv_datasets.so.3.2.0 -rw-r--r-- 1 root root 206K Sep 20 2018 libopencv_dpm.a lrwxrwxrwx 1 root root 20 Sep 20 2018 libopencv_dpm.so -> libopencv_dpm.so.3.2 lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_dpm.so.3.2 -> libopencv_dpm.so.3.2.0 -rw-r--r-- 1 root root 99K Sep 20 2018 libopencv_dpm.so.3.2.0 -rw-r--r-- 1 root root 331K Sep 20 2018 libopencv_face.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_face.so -> libopencv_face.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_face.so.3.2 -> libopencv_face.so.3.2.0 -rw-r--r-- 1 root root 143K Sep 20 2018 libopencv_face.so.3.2.0 -rw-r--r-- 1 root root 1.4M Sep 20 2018 libopencv_features2d.a lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_features2d.so -> libopencv_features2d.so.3.2 lrwxrwxrwx 1 root root 29 Sep 20 2018 libopencv_features2d.so.3.2 -> libopencv_features2d.so.3.2.0 -rw-r--r-- 1 root root 723K Sep 20 2018 libopencv_features2d.so.3.2.0 -rw-r--r-- 1 root root 1007K Sep 20 2018 libopencv_flann.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_flann.so -> libopencv_flann.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_flann.so.3.2 -> libopencv_flann.so.3.2.0 -rw-r--r-- 1 root root 319K Sep 20 2018 libopencv_flann.so.3.2.0 -rw-r--r-- 1 root root 43K Sep 20 2018 libopencv_freetype.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_freetype.so -> libopencv_freetype.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_freetype.so.3.2 -> libopencv_freetype.so.3.2.0 -rw-r--r-- 1 root root 27K Sep 20 2018 libopencv_freetype.so.3.2.0 -rw-r--r-- 1 root root 73K Sep 20 2018 libopencv_fuzzy.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_fuzzy.so -> libopencv_fuzzy.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_fuzzy.so.3.2 -> libopencv_fuzzy.so.3.2.0 -rw-r--r-- 1 root root 54K Sep 20 2018 libopencv_fuzzy.so.3.2.0 -rw-r--r-- 1 root root 75K Sep 20 2018 libopencv_hdf.a lrwxrwxrwx 1 root root 20 Sep 20 2018 libopencv_hdf.so -> libopencv_hdf.so.3.2 lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_hdf.so.3.2 -> libopencv_hdf.so.3.2.0 -rw-r--r-- 1 root root 39K Sep 20 2018 libopencv_hdf.so.3.2.0 -rw-r--r-- 1 root root 94K Sep 20 2018 libopencv_highgui.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_highgui.so -> libopencv_highgui.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_highgui.so.3.2 -> libopencv_highgui.so.3.2.0 -rw-r--r-- 1 root root 47K Sep 20 2018 libopencv_highgui.so.3.2.0 -rw-r--r-- 1 root root 756K Sep 20 2018 libopencv_imgcodecs.a lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_imgcodecs.so -> libopencv_imgcodecs.so.3.2 lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_imgcodecs.so.3.2 -> libopencv_imgcodecs.so.3.2.0 -rw-r--r-- 1 root root 227K Sep 20 2018 libopencv_imgcodecs.so.3.2.0 -rw-r--r-- 1 root root 5.5M Sep 20 2018 libopencv_imgproc.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_imgproc.so -> libopencv_imgproc.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_imgproc.so.3.2 -> libopencv_imgproc.so.3.2.0 -rw-r--r-- 1 root root 2.8M Sep 20 2018 libopencv_imgproc.so.3.2.0 -rw-r--r-- 1 root root 312K Sep 20 2018 libopencv_line_descriptor.a lrwxrwxrwx 1 root root 32 Sep 20 2018 libopencv_line_descriptor.so -> libopencv_line_descriptor.so.3.2 lrwxrwxrwx 1 root root 34 Sep 20 2018 libopencv_line_descriptor.so.3.2 -> libopencv_line_descriptor.so.3.2.0 -rw-r--r-- 1 root root 159K Sep 20 2018 libopencv_line_descriptor.so.3.2.0 -rw-r--r-- 1 root root 1.5M Sep 20 2018 libopencv_ml.a lrwxrwxrwx 1 root root 19 Sep 20 2018 libopencv_ml.so -> libopencv_ml.so.3.2 lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_ml.so.3.2 -> libopencv_ml.so.3.2.0 -rw-r--r-- 1 root root 679K Sep 20 2018 libopencv_ml.so.3.2.0 -rw-r--r-- 1 root root 689K Sep 20 2018 libopencv_objdetect.a lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_objdetect.so -> libopencv_objdetect.so.3.2 lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_objdetect.so.3.2 -> libopencv_objdetect.so.3.2.0 -rw-r--r-- 1 root root 343K Sep 20 2018 libopencv_objdetect.so.3.2.0 -rw-r--r-- 1 root root 648K Sep 20 2018 libopencv_optflow.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_optflow.so -> libopencv_optflow.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_optflow.so.3.2 -> libopencv_optflow.so.3.2.0 -rw-r--r-- 1 root root 327K Sep 20 2018 libopencv_optflow.so.3.2.0 -rw-r--r-- 1 root root 62K Sep 20 2018 libopencv_phase_unwrapping.a lrwxrwxrwx 1 root root 33 Sep 20 2018 libopencv_phase_unwrapping.so -> libopencv_phase_unwrapping.so.3.2 lrwxrwxrwx 1 root root 35 Sep 20 2018 libopencv_phase_unwrapping.so.3.2 -> libopencv_phase_unwrapping.so.3.2.0 -rw-r--r-- 1 root root 35K Sep 20 2018 libopencv_phase_unwrapping.so.3.2.0 -rw-r--r-- 1 root root 1.5M Sep 20 2018 libopencv_photo.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_photo.so -> libopencv_photo.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_photo.so.3.2 -> libopencv_photo.so.3.2.0 -rw-r--r-- 1 root root 771K Sep 20 2018 libopencv_photo.so.3.2.0 -rw-r--r-- 1 root root 66K Sep 20 2018 libopencv_plot.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_plot.so -> libopencv_plot.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_plot.so.3.2 -> libopencv_plot.so.3.2.0 -rw-r--r-- 1 root root 43K Sep 20 2018 libopencv_plot.so.3.2.0 -rw-r--r-- 1 root root 268K Sep 20 2018 libopencv_reg.a lrwxrwxrwx 1 root root 20 Sep 20 2018 libopencv_reg.so -> libopencv_reg.so.3.2 lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_reg.so.3.2 -> libopencv_reg.so.3.2.0 -rw-r--r-- 1 root root 127K Sep 20 2018 libopencv_reg.so.3.2.0 -rw-r--r-- 1 root root 982K Sep 20 2018 libopencv_rgbd.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_rgbd.so -> libopencv_rgbd.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_rgbd.so.3.2 -> libopencv_rgbd.so.3.2.0 -rw-r--r-- 1 root root 535K Sep 20 2018 libopencv_rgbd.so.3.2.0 -rw-r--r-- 1 root root 353K Sep 20 2018 libopencv_saliency.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_saliency.so -> libopencv_saliency.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_saliency.so.3.2 -> libopencv_saliency.so.3.2.0 -rw-r--r-- 1 root root 179K Sep 20 2018 libopencv_saliency.so.3.2.0 -rw-r--r-- 1 root root 428K Sep 20 2018 libopencv_shape.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_shape.so -> libopencv_shape.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_shape.so.3.2 -> libopencv_shape.so.3.2.0 -rw-r--r-- 1 root root 187K Sep 20 2018 libopencv_shape.so.3.2.0 -rw-r--r-- 1 root root 327K Sep 20 2018 libopencv_stereo.a lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_stereo.so -> libopencv_stereo.so.3.2 lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_stereo.so.3.2 -> libopencv_stereo.so.3.2.0 -rw-r--r-- 1 root root 123K Sep 20 2018 libopencv_stereo.so.3.2.0 -rw-r--r-- 1 root root 1.1M Sep 20 2018 libopencv_stitching.a lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_stitching.so -> libopencv_stitching.so.3.2 lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_stitching.so.3.2 -> libopencv_stitching.so.3.2.0 -rw-r--r-- 1 root root 519K Sep 20 2018 libopencv_stitching.so.3.2.0 -rw-r--r-- 1 root root 156K Sep 20 2018 libopencv_structured_light.a lrwxrwxrwx 1 root root 33 Sep 20 2018 libopencv_structured_light.so -> libopencv_structured_light.so.3.2 lrwxrwxrwx 1 root root 35 Sep 20 2018 libopencv_structured_light.so.3.2 -> libopencv_structured_light.so.3.2.0 -rw-r--r-- 1 root root 91K Sep 20 2018 libopencv_structured_light.so.3.2.0 -rw-r--r-- 1 root root 295K Sep 20 2018 libopencv_superres.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_superres.so -> libopencv_superres.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_superres.so.3.2 -> libopencv_superres.so.3.2.0 -rw-r--r-- 1 root root 151K Sep 20 2018 libopencv_superres.so.3.2.0 -rw-r--r-- 1 root root 1.1M Sep 20 2018 libopencv_surface_matching.a lrwxrwxrwx 1 root root 33 Sep 20 2018 libopencv_surface_matching.so -> libopencv_surface_matching.so.3.2 lrwxrwxrwx 1 root root 35 Sep 20 2018 libopencv_surface_matching.so.3.2 -> libopencv_surface_matching.so.3.2.0 -rw-r--r-- 1 root root 259K Sep 20 2018 libopencv_surface_matching.so.3.2.0 -rw-r--r-- 1 root root 761K Sep 20 2018 libopencv_text.a lrwxrwxrwx 1 root root 21 Sep 20 2018 libopencv_text.so -> libopencv_text.so.3.2 lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_text.so.3.2 -> libopencv_text.so.3.2.0 -rw-r--r-- 1 root root 367K Sep 20 2018 libopencv_text.so.3.2.0 -rw-r--r-- 1 root root 1.6M Sep 20 2018 libopencv_ts.a -rw-r--r-- 1 root root 700K Sep 20 2018 libopencv_video.a lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_video.so -> libopencv_video.so.3.2 lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_video.so.3.2 -> libopencv_video.so.3.2.0 -rw-r--r-- 1 root root 395K Sep 20 2018 libopencv_video.so.3.2.0 -rw-r--r-- 1 root root 488K Sep 20 2018 libopencv_videoio.a lrwxrwxrwx 1 root root 24 Sep 20 2018 libopencv_videoio.so -> libopencv_videoio.so.3.2 lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_videoio.so.3.2 -> libopencv_videoio.so.3.2.0 -rw-r--r-- 1 root root 211K Sep 20 2018 libopencv_videoio.so.3.2.0 -rw-r--r-- 1 root root 688K Sep 20 2018 libopencv_videostab.a lrwxrwxrwx 1 root root 26 Sep 20 2018 libopencv_videostab.so -> libopencv_videostab.so.3.2 lrwxrwxrwx 1 root root 28 Sep 20 2018 libopencv_videostab.so.3.2 -> libopencv_videostab.so.3.2.0 -rw-r--r-- 1 root root 347K Sep 20 2018 libopencv_videostab.so.3.2.0 -rw-r--r-- 1 root root 1019K Sep 20 2018 libopencv_viz.a lrwxrwxrwx 1 root root 20 Sep 20 2018 libopencv_viz.so -> libopencv_viz.so.3.2 lrwxrwxrwx 1 root root 22 Sep 20 2018 libopencv_viz.so.3.2 -> libopencv_viz.so.3.2.0 -rw-r--r-- 1 root root 363K Sep 20 2018 libopencv_viz.so.3.2.0 -rw-r--r-- 1 root root 2.3M Sep 20 2018 libopencv_ximgproc.a lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_ximgproc.so -> libopencv_ximgproc.so.3.2 lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_ximgproc.so.3.2 -> libopencv_ximgproc.so.3.2.0 -rw-r--r-- 1 root root 983K Sep 20 2018 libopencv_ximgproc.so.3.2.0 -rw-r--r-- 1 root root 186K Sep 20 2018 libopencv_xobjdetect.a lrwxrwxrwx 1 root root 27 Sep 20 2018 libopencv_xobjdetect.so -> libopencv_xobjdetect.so.3.2 lrwxrwxrwx 1 root root 29 Sep 20 2018 libopencv_xobjdetect.so.3.2 -> libopencv_xobjdetect.so.3.2.0 -rw-r--r-- 1 root root 87K Sep 20 2018 libopencv_xobjdetect.so.3.2.0 -rw-r--r-- 1 root root 441K Sep 20 2018 libopencv_xphoto.a lrwxrwxrwx 1 root root 23 Sep 20 2018 libopencv_xphoto.so -> libopencv_xphoto.so.3.2 lrwxrwxrwx 1 root root 25 Sep 20 2018 libopencv_xphoto.so.3.2 -> libopencv_xphoto.so.3.2.0 -rw-r--r-- 1 root root 220K Sep 20 2018 libopencv_xphoto.so.3.2.0 -rw-r--r-- 1 root root 343K Aug 20 2019 libopenjp2.so.2.3.0 lrwxrwxrwx 1 root root 19 Aug 20 2019 libopenjp2.so.7 -> libopenjp2.so.2.3.0 lrwxrwxrwx 1 root root 19 Feb 4 2018 libopenmpt.so.0 -> libopenmpt.so.0.1.1 -rw-r--r-- 1 root root 1.5M Feb 4 2018 libopenmpt.so.0.1.1 lrwxrwxrwx 1 root root 16 Feb 17 2016 libopus.so.0 -> libopus.so.0.5.2 -rw-r--r-- 1 root root 295K Feb 17 2016 libopus.so.0.5.2 lrwxrwxrwx 1 root root 32 Feb 5 2018 liboshmem.so.20 -> openmpi/lib/liboshmem.so.20.10.1 lrwxrwxrwx 1 root root 19 Jan 4 2021 libp11-kit.so.0 -> libp11-kit.so.0.3.0 -rw-r--r-- 1 root root 1.2M Jan 4 2021 libp11-kit.so.0.3.0 lrwxrwxrwx 1 root root 15 May 23 2018 libpanel.so.5 -> libpanel.so.5.9 -rw-r--r-- 1 root root 14K May 23 2018 libpanel.so.5.9 lrwxrwxrwx 1 root root 16 May 23 2018 libpanelw.so.5 -> libpanelw.so.5.9 -rw-r--r-- 1 root root 14K May 23 2018 libpanelw.so.5.9 lrwxrwxrwx 1 root root 25 Aug 21 2018 libpango-1.0.so.0 -> libpango-1.0.so.0.4000.14 -rw-r--r-- 1 root root 306K Aug 21 2018 libpango-1.0.so.0.4000.14 lrwxrwxrwx 1 root root 30 Aug 21 2018 libpangocairo-1.0.so.0 -> libpangocairo-1.0.so.0.4000.14 -rw-r--r-- 1 root root 50K Aug 21 2018 libpangocairo-1.0.so.0.4000.14 lrwxrwxrwx 1 root root 28 Aug 21 2018 libpangoft2-1.0.so.0 -> libpangoft2-1.0.so.0.4000.14 -rw-r--r-- 1 root root 86K Aug 21 2018 libpangoft2-1.0.so.0.4000.14 lrwxrwxrwx 1 root root 20 Mar 24 2018 libpathplan.so -> libpathplan.so.4.0.0 lrwxrwxrwx 1 root root 20 Mar 24 2018 libpathplan.so.4 -> libpathplan.so.4.0.0 -rw-r--r-- 1 root root 31K Mar 24 2018 libpathplan.so.4.0.0 lrwxrwxrwx 1 root root 22 Mar 18 2018 libpciaccess.so.0 -> libpciaccess.so.0.11.1 -rw-r--r-- 1 root root 35K Mar 18 2018 libpciaccess.so.0.11.1 -rw-r--r-- 1 root root 615K May 17 07:42 libpcre.a lrwxrwxrwx 1 root root 34 May 17 07:42 libpcre.so -> /lib/x86_64-linux-gnu/libpcre.so.3 -rw-r--r-- 1 root root 576K May 17 07:42 libpcre16.a lrwxrwxrwx 1 root root 19 May 17 07:42 libpcre16.so -> libpcre16.so.3.13.3 lrwxrwxrwx 1 root root 19 May 17 07:42 libpcre16.so.3 -> libpcre16.so.3.13.3 -rw-r--r-- 1 root root 410K May 17 07:42 libpcre16.so.3.13.3 -rw-r--r-- 1 root root 558K May 17 07:42 libpcre32.a lrwxrwxrwx 1 root root 19 May 17 07:42 libpcre32.so -> libpcre32.so.3.13.3 lrwxrwxrwx 1 root root 19 May 17 07:42 libpcre32.so.3 -> libpcre32.so.3.13.3 -rw-r--r-- 1 root root 390K May 17 07:42 libpcre32.so.3.13.3 -rw-r--r-- 1 root root 51K May 17 07:42 libpcrecpp.a lrwxrwxrwx 1 root root 19 May 17 07:42 libpcrecpp.so -> libpcrecpp.so.0.0.1 lrwxrwxrwx 1 root root 19 May 17 07:42 libpcrecpp.so.0 -> libpcrecpp.so.0.0.1 -rw-r--r-- 1 root root 34K May 17 07:42 libpcrecpp.so.0.0.1 -rw-r--r-- 1 root root 6.6K May 17 07:42 libpcreposix.a lrwxrwxrwx 1 root root 22 May 17 07:42 libpcreposix.so -> libpcreposix.so.3.13.3 lrwxrwxrwx 1 root root 22 May 17 07:42 libpcreposix.so.3 -> libpcreposix.so.3.13.3 -rw-r--r-- 1 root root 9.9K May 17 07:42 libpcreposix.so.3.13.3 lrwxrwxrwx 1 root root 17 Oct 19 2020 libperl.so.5.26 -> libperl.so.5.26.1 -rw-r--r-- 1 root root 2.0M Oct 19 2020 libperl.so.5.26.1 lrwxrwxrwx 1 root root 21 Dec 17 2017 libpixman-1.so.0 -> libpixman-1.so.0.34.0 -rw-r--r-- 1 root root 659K Dec 17 2017 libpixman-1.so.0.34.0 -rw-r--r-- 1 root root 19K Feb 22 2018 libplc4.so -rw-r--r-- 1 root root 15K Feb 22 2018 libplds4.so lrwxrwxrwx 1 root root 10 Apr 30 2019 libpng.a -> libpng16.a lrwxrwxrwx 1 root root 11 Apr 30 2019 libpng.so -> libpng16.so -rw-r--r-- 1 root root 328K Apr 30 2019 libpng16.a lrwxrwxrwx 1 root root 19 Apr 30 2019 libpng16.so -> libpng16.so.16.34.0 lrwxrwxrwx 1 root root 19 Apr 30 2019 libpng16.so.16 -> libpng16.so.16.34.0 -rw-r--r-- 1 root root 198K Apr 30 2019 libpng16.so.16.34.0 lrwxrwxrwx 1 root root 20 Nov 26 2020 libpoppler.so.73 -> libpoppler.so.73.0.0 -rw-r--r-- 1 root root 2.6M Nov 26 2020 libpoppler.so.73.0.0 lrwxrwxrwx 1 root root 13 May 18 01:58 libpq.so.5 -> libpq.so.5.10 -rw-r--r-- 1 root root 290K May 18 01:58 libpq.so.5.10 lrwxrwxrwx 1 root root 17 Jun 18 2017 libproj.so.12 -> libproj.so.12.0.0 -rw-r--r-- 1 root root 420K Jun 18 2017 libproj.so.12.0.0 lrwxrwxrwx 1 root root 17 Dec 8 2020 libproxy.so.1 -> libproxy.so.1.0.0 -rw-r--r-- 1 root root 123K Dec 8 2020 libproxy.so.1.0.0 lrwxrwxrwx 1 root root 15 Mar 4 2018 libpsl.so.5 -> libpsl.so.5.2.0 -rw-r--r-- 1 root root 54K Mar 4 2018 libpsl.so.5.2.0 lrwxrwxrwx 1 root root 40 Aug 16 08:53 libpsm_infinipath.so.1 -> /etc/alternatives/libpsm_infinipath.so.1 -rw-r--r-- 1 root root 6.0M May 3 10:19 libpthread.a -rw-r--r-- 1 root root 252 May 3 10:19 libpthread.so -rw-r--r-- 1 root root 29K May 3 10:19 libpthread_nonshared.a lrwxrwxrwx 1 root root 19 Jul 1 15:56 libpython2.7.so.1 -> libpython2.7.so.1.0 -rw-r--r-- 1 root root 3.4M Jul 1 15:56 libpython2.7.so.1.0 lrwxrwxrwx 1 root root 17 Dec 9 2017 libqhull.so.7 -> libqhull.so.7.2.0 -rw-r--r-- 1 root root 358K Dec 9 2017 libqhull.so.7.2.0 lrwxrwxrwx 1 root root 20 Mar 10 2020 libquadmath.so.0 -> libquadmath.so.0.0.0 -rw-r--r-- 1 root root 256K Mar 10 2020 libquadmath.so.0.0.0 -rw-r--r-- 1 root root 91K Apr 26 2016 libraw1394.a -rw-r--r-- 1 root root 969 Apr 26 2016 libraw1394.la lrwxrwxrwx 1 root root 20 Apr 26 2016 libraw1394.so -> libraw1394.so.11.1.0 lrwxrwxrwx 1 root root 20 Apr 26 2016 libraw1394.so.11 -> libraw1394.so.11.1.0 -rw-r--r-- 1 root root 59K Apr 26 2016 libraw1394.so.11.1.0 lrwxrwxrwx 1 root root 21 Aug 5 2019 librdmacm.so.1 -> librdmacm.so.1.1.17.1 -rw-r--r-- 1 root root 87K Aug 5 2019 librdmacm.so.1.1.17.1 -rw-r--r-- 1 root root 136K May 3 10:19 libresolv.a lrwxrwxrwx 1 root root 36 May 3 10:19 libresolv.so -> /lib/x86_64-linux-gnu/libresolv.so.2 lrwxrwxrwx 1 root root 20 Oct 24 2016 librest-0.7.so.0 -> librest-0.7.so.0.0.0 -rw-r--r-- 1 root root 88K Oct 24 2016 librest-0.7.so.0.0.0 lrwxrwxrwx 1 root root 18 Dec 15 2017 libroken.so.18 -> libroken.so.18.1.0 -rw-r--r-- 1 root root 87K Dec 15 2017 libroken.so.18.1.0 -rw-r--r-- 1 root root 52K May 3 10:19 librpcsvc.a lrwxrwxrwx 1 root root 20 Jul 28 2020 librsvg-2.so.2 -> librsvg-2.so.2.40.20 -rw-r--r-- 1 root root 223K Jul 28 2020 librsvg-2.so.2.40.20 -rw-r--r-- 1 root root 76K May 3 10:19 librt.a lrwxrwxrwx 1 root root 32 May 3 10:19 librt.so -> /lib/x86_64-linux-gnu/librt.so.1 -rw-r--r-- 1 root root 111K Apr 27 2016 librtmp.so.1 lrwxrwxrwx 1 root root 18 Feb 15 2022 libsasl2.so.2 -> libsasl2.so.2.0.25 -rw-r--r-- 1 root root 107K Feb 15 2022 libsasl2.so.2.0.25 -rw-r--r-- 1 root root 251K Mar 1 2018 libsemanage.so.1 lrwxrwxrwx 1 root root 19 Mar 31 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 181K Jul 6 11:25 libsmime3.so lrwxrwxrwx 1 root root 18 Sep 5 2017 libsnappy.so.1 -> libsnappy.so.1.1.7 -rw-r--r-- 1 root root 31K Sep 5 2017 libsnappy.so.1.1.7 lrwxrwxrwx 1 root root 20 Oct 5 2017 libsocket++.so.1 -> libsocket++.so.1.0.2 -rw-r--r-- 1 root root 132K Oct 5 2017 libsocket++.so.1.0.2 lrwxrwxrwx 1 root root 20 Oct 9 2019 libsoup-2.4.so.1 -> libsoup-2.4.so.1.8.0 -rw-r--r-- 1 root root 971K Oct 9 2019 libsoup-2.4.so.1.8.0 lrwxrwxrwx 1 root root 26 Oct 9 2019 libsoup-gnome-2.4.so.1 -> libsoup-gnome-2.4.so.1.8.0 -rw-r--r-- 1 root root 9.9K Oct 9 2019 libsoup-gnome-2.4.so.1.8.0 lrwxrwxrwx 1 root root 16 Nov 4 2017 libsoxr.so.0 -> libsoxr.so.0.1.1 -rw-r--r-- 1 root root 183K Nov 4 2017 libsoxr.so.0.1.1 lrwxrwxrwx 1 root root 22 Nov 17 2016 libspatialite.so.7 -> libspatialite.so.7.1.0 -rw-r--r-- 1 root root 5.6M Nov 17 2016 libspatialite.so.7.1.0 lrwxrwxrwx 1 root root 17 Feb 8 2022 libspeex.so.1 -> libspeex.so.1.5.0 -rw-r--r-- 1 root root 102K Feb 8 2022 libspeex.so.1.5.0 lrwxrwxrwx 1 root root 19 Apr 28 14:04 libsqlite3.so.0 -> libsqlite3.so.0.8.6 -rw-r--r-- 1 root root 1.1M Apr 28 14:04 libsqlite3.so.0.8.6 lrwxrwxrwx 1 root root 22 Jul 31 2020 libssh-gcrypt.so.4 -> libssh-gcrypt.so.4.5.0 -rw-r--r-- 1 root root 465K Jul 31 2020 libssh-gcrypt.so.4.5.0 lrwxrwxrwx 1 root root 30 Jul 31 2020 libssh-gcrypt_threads.so.4 -> libssh-gcrypt_threads.so.4.5.0 -rw-r--r-- 1 root root 6.0K Jul 31 2020 libssh-gcrypt_threads.so.4.5.0 -rw-r--r-- 1 root root 564K May 3 17:51 libssl.so.1.1 -rw-r--r-- 1 root root 321K Jul 6 11:25 libssl3.so lrwxrwxrwx 1 root root 19 Mar 10 2020 libstdc++.so.6 -> libstdc++.so.6.0.25 -rw-r--r-- 1 root root 1.6M Mar 10 2020 libstdc++.so.6.0.25 lrwxrwxrwx 1 root root 19 Nov 6 2017 libsuperlu.so.5 -> libsuperlu.so.5.2.1 -rw-r--r-- 1 root root 447K Nov 6 2017 libsuperlu.so.5.2.1 -rw-r--r-- 1 root root 220K May 18 20:01 libswresample.a lrwxrwxrwx 1 root root 24 May 18 20:01 libswresample.so -> libswresample.so.2.9.100 lrwxrwxrwx 1 root root 24 May 18 20:01 libswresample.so.2 -> libswresample.so.2.9.100 -rw-r--r-- 1 root root 122K May 18 20:01 libswresample.so.2.9.100 -rw-r--r-- 1 root root 780K May 18 20:01 libswscale.a lrwxrwxrwx 1 root root 21 May 18 20:01 libswscale.so -> libswscale.so.4.8.100 lrwxrwxrwx 1 root root 21 May 18 20:01 libswscale.so.4 -> libswscale.so.4.8.100 -rw-r--r-- 1 root root 538K May 18 20:01 libswscale.so.4.8.100 lrwxrwxrwx 1 root root 14 Jul 28 2017 libsz.so.2 -> libsz.so.2.0.1 -rw-r--r-- 1 root root 9.9K Jul 28 2017 libsz.so.2.0.1 lrwxrwxrwx 1 root root 17 Jan 21 2018 libtasn1.so.6 -> libtasn1.so.6.5.5 -rw-r--r-- 1 root root 74K Jan 21 2018 libtasn1.so.6.5.5 lrwxrwxrwx 1 root root 11 Oct 4 2017 libtbb.so -> libtbb.so.2 -rw-r--r-- 1 root root 230K Oct 4 2017 libtbb.so.2 lrwxrwxrwx 1 root root 17 Oct 4 2017 libtbbmalloc.so -> libtbbmalloc.so.2 -rw-r--r-- 1 root root 110K Oct 4 2017 libtbbmalloc.so.2 lrwxrwxrwx 1 root root 23 Oct 4 2017 libtbbmalloc_proxy.so -> libtbbmalloc_proxy.so.2 -rw-r--r-- 1 root root 11K Oct 4 2017 libtbbmalloc_proxy.so.2 -rw-r--r-- 1 root root 1.7M Feb 22 2018 libtcl8.6.so lrwxrwxrwx 1 root root 12 Feb 22 2018 libtcl8.6.so.0 -> libtcl8.6.so lrwxrwxrwx 1 root root 21 Apr 7 2018 libtesseract.so.4 -> libtesseract.so.4.0.0 -rw-r--r-- 1 root root 3.1M Apr 7 2018 libtesseract.so.4.0.0 lrwxrwxrwx 1 root root 16 Feb 16 2018 libthai.so.0 -> libthai.so.0.3.0 -rw-r--r-- 1 root root 37K Feb 16 2018 libthai.so.0.3.0 lrwxrwxrwx 1 root root 19 May 27 2016 libtheora.so.0 -> libtheora.so.0.3.10 -rw-r--r-- 1 root root 327K May 27 2016 libtheora.so.0.3.10 lrwxrwxrwx 1 root root 21 May 27 2016 libtheoradec.so.1 -> libtheoradec.so.1.1.4 -rw-r--r-- 1 root root 119K May 27 2016 libtheoradec.so.1.1.4 lrwxrwxrwx 1 root root 21 May 27 2016 libtheoraenc.so.1 -> libtheoraenc.so.1.1.2 -rw-r--r-- 1 root root 251K May 27 2016 libtheoraenc.so.1.1.2 lrwxrwxrwx 1 root root 39 May 3 10:19 libthread_db.so -> /lib/x86_64-linux-gnu/libthread_db.so.1 lrwxrwxrwx 1 root root 13 May 23 2018 libtic.so.5 -> libtic.so.5.9 -rw-r--r-- 1 root root 62K May 23 2018 libtic.so.5.9 -rw-r--r-- 1 root root 752K May 11 15:09 libtiff.a lrwxrwxrwx 1 root root 16 May 11 15:09 libtiff.so -> libtiff.so.5.3.0 lrwxrwxrwx 1 root root 16 May 11 15:09 libtiff.so.5 -> libtiff.so.5.3.0 -rw-r--r-- 1 root root 479K May 11 15:09 libtiff.so.5.3.0 -rw-r--r-- 1 root root 8.5K May 11 15:09 libtiffxx.a lrwxrwxrwx 1 root root 18 May 11 15:09 libtiffxx.so -> libtiffxx.so.5.3.0 lrwxrwxrwx 1 root root 18 May 11 15:09 libtiffxx.so.5 -> libtiffxx.so.5.3.0 -rw-r--r-- 1 root root 10K May 11 15:09 libtiffxx.so.5.3.0 -rw-r--r-- 1 root root 1.4M Mar 24 2018 libtk8.6.so lrwxrwxrwx 1 root root 11 Mar 24 2018 libtk8.6.so.0 -> libtk8.6.so lrwxrwxrwx 1 root root 16 Mar 10 2020 libtsan.so.0 -> libtsan.so.0.0.0 -rw-r--r-- 1 root root 942K Mar 10 2020 libtsan.so.0.0.0 -rw-r--r-- 1 root root 3.6K Mar 10 2020 libtsan_preinit.o lrwxrwxrwx 1 root root 19 Aug 29 2017 libtwolame.so.0 -> libtwolame.so.0.0.0 -rw-r--r-- 1 root root 122K Aug 29 2017 libtwolame.so.0.0.0 lrwxrwxrwx 1 root root 17 Dec 4 2019 libubsan.so.0 -> libubsan.so.0.0.0 -rw-r--r-- 1 root root 322K Dec 4 2019 libubsan.so.0.0.0 lrwxrwxrwx 1 root root 21 Mar 21 2019 libunistring.so.2 -> libunistring.so.2.1.0 -rw-r--r-- 1 root root 1.5M Mar 21 2019 libunistring.so.2.1.0 lrwxrwxrwx 1 root root 22 Jul 12 13:52 liburiparser.so.1 -> liburiparser.so.1.0.20 -rw-r--r-- 1 root root 110K Jul 12 13:52 liburiparser.so.1.0.20 -rw-r--r-- 1 root root 15K May 3 10:19 libutil.a lrwxrwxrwx 1 root root 34 May 3 10:19 libutil.so -> /lib/x86_64-linux-gnu/libutil.so.1 lrwxrwxrwx 1 root root 20 Apr 3 2018 libva-drm.so.2 -> libva-drm.so.2.100.0 -rw-r--r-- 1 root root 11K Apr 3 2018 libva-drm.so.2.100.0 lrwxrwxrwx 1 root root 20 Apr 3 2018 libva-x11.so.2 -> libva-x11.so.2.100.0 -rw-r--r-- 1 root root 23K Apr 3 2018 libva-x11.so.2.100.0 lrwxrwxrwx 1 root root 16 Apr 3 2018 libva.so.2 -> libva.so.2.100.0 -rw-r--r-- 1 root root 131K Apr 3 2018 libva.so.2.100.0 lrwxrwxrwx 1 root root 17 Feb 19 2016 libvdpau.so.1 -> libvdpau.so.1.0.0 -rw-r--r-- 1 root root 15K Feb 19 2016 libvdpau.so.1.0.0 lrwxrwxrwx 1 root root 18 Mar 16 2018 libvorbis.so.0 -> libvorbis.so.0.4.8 -rw-r--r-- 1 root root 171K Mar 16 2018 libvorbis.so.0.4.8 lrwxrwxrwx 1 root root 22 Mar 16 2018 libvorbisenc.so.2 -> libvorbisenc.so.2.0.11 -rw-r--r-- 1 root root 675K Mar 16 2018 libvorbisenc.so.2.0.11 lrwxrwxrwx 1 root root 22 Mar 16 2018 libvorbisfile.so.3 -> libvorbisfile.so.3.3.7 -rw-r--r-- 1 root root 31K Mar 16 2018 libvorbisfile.so.3.3.7 lrwxrwxrwx 1 root root 15 Nov 19 2019 libvpx.so.5 -> libvpx.so.5.0.0 lrwxrwxrwx 1 root root 15 Nov 19 2019 libvpx.so.5.0 -> libvpx.so.5.0.0 -rw-r--r-- 1 root root 2.3M Nov 19 2019 libvpx.so.5.0.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkChartsCore-6.3.so.6.3 -> libvtkChartsCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.4M Dec 17 2017 libvtkChartsCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkChartsCorePython27D-6.3.so.6.3 -> libvtkChartsCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 939K Dec 17 2017 libvtkChartsCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkChartsCoreTCL-6.3.so.6.3 -> libvtkChartsCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 573K Dec 17 2017 libvtkChartsCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkCommonColor-6.3.so.6.3 -> libvtkCommonColor-6.3.so.6.3.0 -rw-r--r-- 1 root root 106K Dec 17 2017 libvtkCommonColor-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkCommonColorPython27D-6.3.so.6.3 -> libvtkCommonColorPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 70K Dec 17 2017 libvtkCommonColorPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkCommonColorTCL-6.3.so.6.3 -> libvtkCommonColorTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkCommonColorTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkCommonComputationalGeometry-6.3.so.6.3 -> libvtkCommonComputationalGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 240K Dec 17 2017 libvtkCommonComputationalGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 55 Dec 17 2017 libvtkCommonComputationalGeometryPython27D-6.3.so.6.3 -> libvtkCommonComputationalGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 423K Dec 17 2017 libvtkCommonComputationalGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 49 Dec 17 2017 libvtkCommonComputationalGeometryTCL-6.3.so.6.3 -> libvtkCommonComputationalGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 259K Dec 17 2017 libvtkCommonComputationalGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkCommonCore-6.3.so.6.3 -> libvtkCommonCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.2M Dec 17 2017 libvtkCommonCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonCorePython27D-6.3.so.6.3 -> libvtkCommonCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.0M Dec 17 2017 libvtkCommonCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkCommonCoreTCL-6.3.so.6.3 -> libvtkCommonCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 900K Dec 17 2017 libvtkCommonCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkCommonDataModel-6.3.so.6.3 -> libvtkCommonDataModel-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.4M Dec 17 2017 libvtkCommonDataModel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkCommonDataModelPython27D-6.3.so.6.3 -> libvtkCommonDataModelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 4.2M Dec 17 2017 libvtkCommonDataModelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkCommonDataModelTCL-6.3.so.6.3 -> libvtkCommonDataModelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.2M Dec 17 2017 libvtkCommonDataModelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkCommonExecutionModel-6.3.so.6.3 -> libvtkCommonExecutionModel-6.3.so.6.3.0 -rw-r--r-- 1 root root 669K Dec 17 2017 libvtkCommonExecutionModel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 48 Dec 17 2017 libvtkCommonExecutionModelPython27D-6.3.so.6.3 -> libvtkCommonExecutionModelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 621K Dec 17 2017 libvtkCommonExecutionModelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkCommonExecutionModelTCL-6.3.so.6.3 -> libvtkCommonExecutionModelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 474K Dec 17 2017 libvtkCommonExecutionModelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkCommonMath-6.3.so.6.3 -> libvtkCommonMath-6.3.so.6.3.0 -rw-r--r-- 1 root root 128K Dec 17 2017 libvtkCommonMath-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonMathPython27D-6.3.so.6.3 -> libvtkCommonMathPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 347K Dec 17 2017 libvtkCommonMathPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkCommonMathTCL-6.3.so.6.3 -> libvtkCommonMathTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 103K Dec 17 2017 libvtkCommonMathTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkCommonMisc-6.3.so.6.3 -> libvtkCommonMisc-6.3.so.6.3.0 -rw-r--r-- 1 root root 88K Dec 17 2017 libvtkCommonMisc-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonMiscPython27D-6.3.so.6.3 -> libvtkCommonMiscPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 88K Dec 17 2017 libvtkCommonMiscPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkCommonMiscTCL-6.3.so.6.3 -> libvtkCommonMiscTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkCommonMiscTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkCommonSystem-6.3.so.6.3 -> libvtkCommonSystem-6.3.so.6.3.0 -rw-r--r-- 1 root root 76K Dec 17 2017 libvtkCommonSystem-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkCommonSystemPython27D-6.3.so.6.3 -> libvtkCommonSystemPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkCommonSystemPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkCommonSystemTCL-6.3.so.6.3 -> libvtkCommonSystemTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkCommonSystemTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkCommonTransforms-6.3.so.6.3 -> libvtkCommonTransforms-6.3.so.6.3.0 -rw-r--r-- 1 root root 184K Dec 17 2017 libvtkCommonTransforms-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkCommonTransformsPython27D-6.3.so.6.3 -> libvtkCommonTransformsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 263K Dec 17 2017 libvtkCommonTransformsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkCommonTransformsTCL-6.3.so.6.3 -> libvtkCommonTransformsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 200K Dec 17 2017 libvtkCommonTransformsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkDICOMParser-6.3.so.6.3 -> libvtkDICOMParser-6.3.so.6.3.0 -rw-r--r-- 1 root root 96K Dec 17 2017 libvtkDICOMParser-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkDomainsChemistry-6.3.so.6.3 -> libvtkDomainsChemistry-6.3.so.6.3.0 -rw-r--r-- 1 root root 293K Dec 17 2017 libvtkDomainsChemistry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkDomainsChemistryPython27D-6.3.so.6.3 -> libvtkDomainsChemistryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 181K Dec 17 2017 libvtkDomainsChemistryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkDomainsChemistryTCL-6.3.so.6.3 -> libvtkDomainsChemistryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 127K Dec 17 2017 libvtkDomainsChemistryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkFiltersAMR-6.3.so.6.3 -> libvtkFiltersAMR-6.3.so.6.3.0 -rw-r--r-- 1 root root 273K Dec 17 2017 libvtkFiltersAMR-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersAMRPython27D-6.3.so.6.3 -> libvtkFiltersAMRPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 183K Dec 17 2017 libvtkFiltersAMRPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersAMRTCL-6.3.so.6.3 -> libvtkFiltersAMRTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkFiltersAMRTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkFiltersCore-6.3.so.6.3 -> libvtkFiltersCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 4.9M Dec 17 2017 libvtkFiltersCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkFiltersCorePython27D-6.3.so.6.3 -> libvtkFiltersCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.6M Dec 17 2017 libvtkFiltersCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersCoreTCL-6.3.so.6.3 -> libvtkFiltersCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.5M Dec 17 2017 libvtkFiltersCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersExtraction-6.3.so.6.3 -> libvtkFiltersExtraction-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkFiltersExtraction-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkFiltersExtractionPython27D-6.3.so.6.3 -> libvtkFiltersExtractionPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 497K Dec 17 2017 libvtkFiltersExtractionPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkFiltersExtractionTCL-6.3.so.6.3 -> libvtkFiltersExtractionTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 360K Dec 17 2017 libvtkFiltersExtractionTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersFlowPaths-6.3.so.6.3 -> libvtkFiltersFlowPaths-6.3.so.6.3.0 -rw-r--r-- 1 root root 473K Dec 17 2017 libvtkFiltersFlowPaths-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersFlowPathsPython27D-6.3.so.6.3 -> libvtkFiltersFlowPathsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 495K Dec 17 2017 libvtkFiltersFlowPathsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersFlowPathsTCL-6.3.so.6.3 -> libvtkFiltersFlowPathsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 264K Dec 17 2017 libvtkFiltersFlowPathsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersGeneral-6.3.so.6.3 -> libvtkFiltersGeneral-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.2M Dec 17 2017 libvtkFiltersGeneral-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersGeneralPython27D-6.3.so.6.3 -> libvtkFiltersGeneralPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.2M Dec 17 2017 libvtkFiltersGeneralPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersGeneralTCL-6.3.so.6.3 -> libvtkFiltersGeneralTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.5M Dec 17 2017 libvtkFiltersGeneralTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersGeneric-6.3.so.6.3 -> libvtkFiltersGeneric-6.3.so.6.3.0 -rw-r--r-- 1 root root 296K Dec 17 2017 libvtkFiltersGeneric-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersGenericPython27D-6.3.so.6.3 -> libvtkFiltersGenericPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 391K Dec 17 2017 libvtkFiltersGenericPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersGenericTCL-6.3.so.6.3 -> libvtkFiltersGenericTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 220K Dec 17 2017 libvtkFiltersGenericTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkFiltersGeometry-6.3.so.6.3 -> libvtkFiltersGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 546K Dec 17 2017 libvtkFiltersGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersGeometryPython27D-6.3.so.6.3 -> libvtkFiltersGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 423K Dec 17 2017 libvtkFiltersGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersGeometryTCL-6.3.so.6.3 -> libvtkFiltersGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 280K Dec 17 2017 libvtkFiltersGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersHybrid-6.3.so.6.3 -> libvtkFiltersHybrid-6.3.so.6.3.0 -rw-r--r-- 1 root root 867K Dec 17 2017 libvtkFiltersHybrid-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersHybridPython27D-6.3.so.6.3 -> libvtkFiltersHybridPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 701K Dec 17 2017 libvtkFiltersHybridPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersHybridTCL-6.3.so.6.3 -> libvtkFiltersHybridTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 432K Dec 17 2017 libvtkFiltersHybridTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersHyperTree-6.3.so.6.3 -> libvtkFiltersHyperTree-6.3.so.6.3.0 -rw-r--r-- 1 root root 297K Dec 17 2017 libvtkFiltersHyperTree-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersHyperTreePython27D-6.3.so.6.3 -> libvtkFiltersHyperTreePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 218K Dec 17 2017 libvtkFiltersHyperTreePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersHyperTreeTCL-6.3.so.6.3 -> libvtkFiltersHyperTreeTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 163K Dec 17 2017 libvtkFiltersHyperTreeTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersImaging-6.3.so.6.3 -> libvtkFiltersImaging-6.3.so.6.3.0 -rw-r--r-- 1 root root 136K Dec 17 2017 libvtkFiltersImaging-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersImagingPython27D-6.3.so.6.3 -> libvtkFiltersImagingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 111K Dec 17 2017 libvtkFiltersImagingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersImagingTCL-6.3.so.6.3 -> libvtkFiltersImagingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkFiltersImagingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkFiltersModeling-6.3.so.6.3 -> libvtkFiltersModeling-6.3.so.6.3.0 -rw-r--r-- 1 root root 481K Dec 17 2017 libvtkFiltersModeling-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersModelingPython27D-6.3.so.6.3 -> libvtkFiltersModelingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 607K Dec 17 2017 libvtkFiltersModelingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersModelingTCL-6.3.so.6.3 -> libvtkFiltersModelingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 388K Dec 17 2017 libvtkFiltersModelingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkFiltersParallel-6.3.so.6.3 -> libvtkFiltersParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 860K Dec 17 2017 libvtkFiltersParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersParallelFlowPaths-6.3.so.6.3 -> libvtkFiltersParallelFlowPaths-6.3.so.6.3.0 -rw-r--r-- 1 root root 232K Dec 17 2017 libvtkFiltersParallelFlowPaths-6.3.so.6.3.0 lrwxrwxrwx 1 root root 52 Dec 17 2017 libvtkFiltersParallelFlowPathsPython27D-6.3.so.6.3 -> libvtkFiltersParallelFlowPathsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 40K Dec 17 2017 libvtkFiltersParallelFlowPathsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkFiltersParallelFlowPathsTCL-6.3.so.6.3 -> libvtkFiltersParallelFlowPathsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkFiltersParallelFlowPathsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersParallelGeometry-6.3.so.6.3 -> libvtkFiltersParallelGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 265K Dec 17 2017 libvtkFiltersParallelGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 51 Dec 17 2017 libvtkFiltersParallelGeometryPython27D-6.3.so.6.3 -> libvtkFiltersParallelGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 65K Dec 17 2017 libvtkFiltersParallelGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkFiltersParallelGeometryTCL-6.3.so.6.3 -> libvtkFiltersParallelGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 55K Dec 17 2017 libvtkFiltersParallelGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersParallelImaging-6.3.so.6.3 -> libvtkFiltersParallelImaging-6.3.so.6.3.0 -rw-r--r-- 1 root root 140K Dec 17 2017 libvtkFiltersParallelImaging-6.3.so.6.3.0 lrwxrwxrwx 1 root root 50 Dec 17 2017 libvtkFiltersParallelImagingPython27D-6.3.so.6.3 -> libvtkFiltersParallelImagingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 45K Dec 17 2017 libvtkFiltersParallelImagingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersParallelImagingTCL-6.3.so.6.3 -> libvtkFiltersParallelImagingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkFiltersParallelImagingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersParallelMPI-6.3.so.6.3 -> libvtkFiltersParallelMPI-6.3.so.6.3.0 -rw-r--r-- 1 root root 237K Dec 17 2017 libvtkFiltersParallelMPI-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkFiltersParallelMPIPython27D-6.3.so.6.3 -> libvtkFiltersParallelMPIPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 94K Dec 17 2017 libvtkFiltersParallelMPIPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkFiltersParallelMPITCL-6.3.so.6.3 -> libvtkFiltersParallelMPITCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkFiltersParallelMPITCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkFiltersParallelPython27D-6.3.so.6.3 -> libvtkFiltersParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 484K Dec 17 2017 libvtkFiltersParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersParallelStatistics-6.3.so.6.3 -> libvtkFiltersParallelStatistics-6.3.so.6.3.0 -rw-r--r-- 1 root root 220K Dec 17 2017 libvtkFiltersParallelStatistics-6.3.so.6.3.0 lrwxrwxrwx 1 root root 53 Dec 17 2017 libvtkFiltersParallelStatisticsPython27D-6.3.so.6.3 -> libvtkFiltersParallelStatisticsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 74K Dec 17 2017 libvtkFiltersParallelStatisticsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkFiltersParallelStatisticsTCL-6.3.so.6.3 -> libvtkFiltersParallelStatisticsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkFiltersParallelStatisticsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkFiltersParallelTCL-6.3.so.6.3 -> libvtkFiltersParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 380K Dec 17 2017 libvtkFiltersParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersProgrammable-6.3.so.6.3 -> libvtkFiltersProgrammable-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkFiltersProgrammable-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkFiltersProgrammablePython27D-6.3.so.6.3 -> libvtkFiltersProgrammablePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 61K Dec 17 2017 libvtkFiltersProgrammablePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersProgrammableTCL-6.3.so.6.3 -> libvtkFiltersProgrammableTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkFiltersProgrammableTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersPython-6.3.so.6.3 -> libvtkFiltersPython-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkFiltersPython-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkFiltersPythonPython27D-6.3.so.6.3 -> libvtkFiltersPythonPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkFiltersPythonPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersReebGraph-6.3.so.6.3 -> libvtkFiltersReebGraph-6.3.so.6.3.0 -rw-r--r-- 1 root root 108K Dec 17 2017 libvtkFiltersReebGraph-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersReebGraphPython27D-6.3.so.6.3 -> libvtkFiltersReebGraphPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkFiltersReebGraphPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersReebGraphTCL-6.3.so.6.3 -> libvtkFiltersReebGraphTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkFiltersReebGraphTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkFiltersSMP-6.3.so.6.3 -> libvtkFiltersSMP-6.3.so.6.3.0 -rw-r--r-- 1 root root 407K Dec 17 2017 libvtkFiltersSMP-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersSMPPython27D-6.3.so.6.3 -> libvtkFiltersSMPPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 110K Dec 17 2017 libvtkFiltersSMPPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkFiltersSMPTCL-6.3.so.6.3 -> libvtkFiltersSMPTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkFiltersSMPTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkFiltersSelection-6.3.so.6.3 -> libvtkFiltersSelection-6.3.so.6.3.0 -rw-r--r-- 1 root root 100K Dec 17 2017 libvtkFiltersSelection-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkFiltersSelectionPython27D-6.3.so.6.3 -> libvtkFiltersSelectionPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 109K Dec 17 2017 libvtkFiltersSelectionPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkFiltersSelectionTCL-6.3.so.6.3 -> libvtkFiltersSelectionTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 83K Dec 17 2017 libvtkFiltersSelectionTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersSources-6.3.so.6.3 -> libvtkFiltersSources-6.3.so.6.3.0 -rw-r--r-- 1 root root 773K Dec 17 2017 libvtkFiltersSources-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersSourcesPython27D-6.3.so.6.3 -> libvtkFiltersSourcesPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.2M Dec 17 2017 libvtkFiltersSourcesPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersSourcesTCL-6.3.so.6.3 -> libvtkFiltersSourcesTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 760K Dec 17 2017 libvtkFiltersSourcesTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersStatistics-6.3.so.6.3 -> libvtkFiltersStatistics-6.3.so.6.3.0 -rw-r--r-- 1 root root 549K Dec 17 2017 libvtkFiltersStatistics-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkFiltersStatisticsPython27D-6.3.so.6.3 -> libvtkFiltersStatisticsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 341K Dec 17 2017 libvtkFiltersStatisticsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkFiltersStatisticsTCL-6.3.so.6.3 -> libvtkFiltersStatisticsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 224K Dec 17 2017 libvtkFiltersStatisticsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersTexture-6.3.so.6.3 -> libvtkFiltersTexture-6.3.so.6.3.0 -rw-r--r-- 1 root root 151K Dec 17 2017 libvtkFiltersTexture-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersTexturePython27D-6.3.so.6.3 -> libvtkFiltersTexturePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 219K Dec 17 2017 libvtkFiltersTexturePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersTextureTCL-6.3.so.6.3 -> libvtkFiltersTextureTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 167K Dec 17 2017 libvtkFiltersTextureTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkFiltersVerdict-6.3.so.6.3 -> libvtkFiltersVerdict-6.3.so.6.3.0 -rw-r--r-- 1 root root 124K Dec 17 2017 libvtkFiltersVerdict-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkFiltersVerdictPython27D-6.3.so.6.3 -> libvtkFiltersVerdictPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 267K Dec 17 2017 libvtkFiltersVerdictPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkFiltersVerdictTCL-6.3.so.6.3 -> libvtkFiltersVerdictTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 156K Dec 17 2017 libvtkFiltersVerdictTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkGeovisCore-6.3.so.6.3 -> libvtkGeovisCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 707K Dec 17 2017 libvtkGeovisCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkGeovisCorePython27D-6.3.so.6.3 -> libvtkGeovisCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 555K Dec 17 2017 libvtkGeovisCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkGeovisCoreTCL-6.3.so.6.3 -> libvtkGeovisCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 392K Dec 17 2017 libvtkGeovisCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOAMR-6.3.so.6.3 -> libvtkIOAMR-6.3.so.6.3.0 -rw-r--r-- 1 root root 282K Dec 17 2017 libvtkIOAMR-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOAMRPython27D-6.3.so.6.3 -> libvtkIOAMRPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 107K Dec 17 2017 libvtkIOAMRPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOAMRTCL-6.3.so.6.3 -> libvtkIOAMRTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 91K Dec 17 2017 libvtkIOAMRTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOCore-6.3.so.6.3 -> libvtkIOCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 458K Dec 17 2017 libvtkIOCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOCorePython27D-6.3.so.6.3 -> libvtkIOCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 322K Dec 17 2017 libvtkIOCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOCoreTCL-6.3.so.6.3 -> libvtkIOCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 240K Dec 17 2017 libvtkIOCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOEnSight-6.3.so.6.3 -> libvtkIOEnSight-6.3.so.6.3.0 -rw-r--r-- 1 root root 549K Dec 17 2017 libvtkIOEnSight-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkIOEnSightPython27D-6.3.so.6.3 -> libvtkIOEnSightPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 141K Dec 17 2017 libvtkIOEnSightPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOEnSightTCL-6.3.so.6.3 -> libvtkIOEnSightTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 95K Dec 17 2017 libvtkIOEnSightTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOExodus-6.3.so.6.3 -> libvtkIOExodus-6.3.so.6.3.0 -rw-r--r-- 1 root root 660K Dec 17 2017 libvtkIOExodus-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOExodusPython27D-6.3.so.6.3 -> libvtkIOExodusPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 385K Dec 17 2017 libvtkIOExodusPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOExodusTCL-6.3.so.6.3 -> libvtkIOExodusTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 220K Dec 17 2017 libvtkIOExodusTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOExport-6.3.so.6.3 -> libvtkIOExport-6.3.so.6.3.0 -rw-r--r-- 1 root root 513K Dec 17 2017 libvtkIOExport-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOExportPython27D-6.3.so.6.3 -> libvtkIOExportPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 288K Dec 17 2017 libvtkIOExportPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOExportTCL-6.3.so.6.3 -> libvtkIOExportTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 183K Dec 17 2017 libvtkIOExportTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOFFMPEG-6.3.so.6.3 -> libvtkIOFFMPEG-6.3.so.6.3.0 -rw-r--r-- 1 root root 55K Dec 17 2017 libvtkIOFFMPEG-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOFFMPEGPython27D-6.3.so.6.3 -> libvtkIOFFMPEGPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 44K Dec 17 2017 libvtkIOFFMPEGPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOFFMPEGTCL-6.3.so.6.3 -> libvtkIOFFMPEGTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 31K Dec 17 2017 libvtkIOFFMPEGTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOGDAL-6.3.so.6.3 -> libvtkIOGDAL-6.3.so.6.3.0 -rw-r--r-- 1 root root 152K Dec 17 2017 libvtkIOGDAL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOGDALPython27D-6.3.so.6.3 -> libvtkIOGDALPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 60K Dec 17 2017 libvtkIOGDALPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOGDALTCL-6.3.so.6.3 -> libvtkIOGDALTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkIOGDALTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOGeoJSON-6.3.so.6.3 -> libvtkIOGeoJSON-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkIOGeoJSON-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkIOGeoJSONPython27D-6.3.so.6.3 -> libvtkIOGeoJSONPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 40K Dec 17 2017 libvtkIOGeoJSONPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOGeoJSONTCL-6.3.so.6.3 -> libvtkIOGeoJSONTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkIOGeoJSONTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOGeometry-6.3.so.6.3 -> libvtkIOGeometry-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkIOGeometry-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOGeometryPython27D-6.3.so.6.3 -> libvtkIOGeometryPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 621K Dec 17 2017 libvtkIOGeometryPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOGeometryTCL-6.3.so.6.3 -> libvtkIOGeometryTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 400K Dec 17 2017 libvtkIOGeometryTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOImage-6.3.so.6.3 -> libvtkIOImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.6M Dec 17 2017 libvtkIOImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOImagePython27D-6.3.so.6.3 -> libvtkIOImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 900K Dec 17 2017 libvtkIOImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOImageTCL-6.3.so.6.3 -> libvtkIOImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 540K Dec 17 2017 libvtkIOImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOImport-6.3.so.6.3 -> libvtkIOImport-6.3.so.6.3.0 -rw-r--r-- 1 root root 276K Dec 17 2017 libvtkIOImport-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOImportPython27D-6.3.so.6.3 -> libvtkIOImportPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 57K Dec 17 2017 libvtkIOImportPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOImportTCL-6.3.so.6.3 -> libvtkIOImportTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkIOImportTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOInfovis-6.3.so.6.3 -> libvtkIOInfovis-6.3.so.6.3.0 -rw-r--r-- 1 root root 562K Dec 17 2017 libvtkIOInfovis-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkIOInfovisPython27D-6.3.so.6.3 -> libvtkIOInfovisPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 320K Dec 17 2017 libvtkIOInfovisPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOInfovisTCL-6.3.so.6.3 -> libvtkIOInfovisTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 212K Dec 17 2017 libvtkIOInfovisTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOLSDyna-6.3.so.6.3 -> libvtkIOLSDyna-6.3.so.6.3.0 -rw-r--r-- 1 root root 313K Dec 17 2017 libvtkIOLSDyna-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOLSDynaPython27D-6.3.so.6.3 -> libvtkIOLSDynaPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 130K Dec 17 2017 libvtkIOLSDynaPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOLSDynaTCL-6.3.so.6.3 -> libvtkIOLSDynaTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkIOLSDynaTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOLegacy-6.3.so.6.3 -> libvtkIOLegacy-6.3.so.6.3.0 -rw-r--r-- 1 root root 655K Dec 17 2017 libvtkIOLegacy-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIOLegacyPython27D-6.3.so.6.3 -> libvtkIOLegacyPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 354K Dec 17 2017 libvtkIOLegacyPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOLegacyTCL-6.3.so.6.3 -> libvtkIOLegacyTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 240K Dec 17 2017 libvtkIOLegacyTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOMINC-6.3.so.6.3 -> libvtkIOMINC-6.3.so.6.3.0 -rw-r--r-- 1 root root 450K Dec 17 2017 libvtkIOMINC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOMINCPython27D-6.3.so.6.3 -> libvtkIOMINCPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 214K Dec 17 2017 libvtkIOMINCPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOMINCTCL-6.3.so.6.3 -> libvtkIOMINCTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 151K Dec 17 2017 libvtkIOMINCTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOMPIImage-6.3.so.6.3 -> libvtkIOMPIImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 161K Dec 17 2017 libvtkIOMPIImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOMPIImagePython27D-6.3.so.6.3 -> libvtkIOMPIImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 28K Dec 17 2017 libvtkIOMPIImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOMPIImageTCL-6.3.so.6.3 -> libvtkIOMPIImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkIOMPIImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOMPIParallel-6.3.so.6.3 -> libvtkIOMPIParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 217K Dec 17 2017 libvtkIOMPIParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkIOMPIParallelPython27D-6.3.so.6.3 -> libvtkIOMPIParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkIOMPIParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOMPIParallelTCL-6.3.so.6.3 -> libvtkIOMPIParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkIOMPIParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOMovie-6.3.so.6.3 -> libvtkIOMovie-6.3.so.6.3.0 -rw-r--r-- 1 root root 59K Dec 17 2017 libvtkIOMovie-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOMoviePython27D-6.3.so.6.3 -> libvtkIOMoviePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 49K Dec 17 2017 libvtkIOMoviePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOMovieTCL-6.3.so.6.3 -> libvtkIOMovieTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkIOMovieTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOMySQL-6.3.so.6.3 -> libvtkIOMySQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 144K Dec 17 2017 libvtkIOMySQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOMySQLPython27D-6.3.so.6.3 -> libvtkIOMySQLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 86K Dec 17 2017 libvtkIOMySQLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOMySQLTCL-6.3.so.6.3 -> libvtkIOMySQLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkIOMySQLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIONetCDF-6.3.so.6.3 -> libvtkIONetCDF-6.3.so.6.3.0 -rw-r--r-- 1 root root 410K Dec 17 2017 libvtkIONetCDF-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkIONetCDFPython27D-6.3.so.6.3 -> libvtkIONetCDFPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 201K Dec 17 2017 libvtkIONetCDFPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIONetCDFTCL-6.3.so.6.3 -> libvtkIONetCDFTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkIONetCDFTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOODBC-6.3.so.6.3 -> libvtkIOODBC-6.3.so.6.3.0 -rw-r--r-- 1 root root 156K Dec 17 2017 libvtkIOODBC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOODBCPython27D-6.3.so.6.3 -> libvtkIOODBCPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 65K Dec 17 2017 libvtkIOODBCPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOODBCTCL-6.3.so.6.3 -> libvtkIOODBCTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkIOODBCTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOPLY-6.3.so.6.3 -> libvtkIOPLY-6.3.so.6.3.0 -rw-r--r-- 1 root root 97K Dec 17 2017 libvtkIOPLY-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOPLYPython27D-6.3.so.6.3 -> libvtkIOPLYPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkIOPLYPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOPLYTCL-6.3.so.6.3 -> libvtkIOPLYTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkIOPLYTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOParallel-6.3.so.6.3 -> libvtkIOParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 526K Dec 17 2017 libvtkIOParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelExodus-6.3.so.6.3 -> libvtkIOParallelExodus-6.3.so.6.3.0 -rw-r--r-- 1 root root 148K Dec 17 2017 libvtkIOParallelExodus-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkIOParallelExodusPython27D-6.3.so.6.3 -> libvtkIOParallelExodusPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 48K Dec 17 2017 libvtkIOParallelExodusPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelExodusTCL-6.3.so.6.3 -> libvtkIOParallelExodusTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkIOParallelExodusTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelLSDyna-6.3.so.6.3 -> libvtkIOParallelLSDyna-6.3.so.6.3.0 -rw-r--r-- 1 root root 55K Dec 17 2017 libvtkIOParallelLSDyna-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkIOParallelLSDynaPython27D-6.3.so.6.3 -> libvtkIOParallelLSDynaPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkIOParallelLSDynaPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelLSDynaTCL-6.3.so.6.3 -> libvtkIOParallelLSDynaTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkIOParallelLSDynaTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelNetCDF-6.3.so.6.3 -> libvtkIOParallelNetCDF-6.3.so.6.3.0 -rw-r--r-- 1 root root 113K Dec 17 2017 libvtkIOParallelNetCDF-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkIOParallelNetCDFPython27D-6.3.so.6.3 -> libvtkIOParallelNetCDFPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 32K Dec 17 2017 libvtkIOParallelNetCDFPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelNetCDFTCL-6.3.so.6.3 -> libvtkIOParallelNetCDFTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkIOParallelNetCDFTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkIOParallelPython27D-6.3.so.6.3 -> libvtkIOParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 221K Dec 17 2017 libvtkIOParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOParallelTCL-6.3.so.6.3 -> libvtkIOParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkIOParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkIOParallelXML-6.3.so.6.3 -> libvtkIOParallelXML-6.3.so.6.3.0 -rw-r--r-- 1 root root 204K Dec 17 2017 libvtkIOParallelXML-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkIOParallelXMLPython27D-6.3.so.6.3 -> libvtkIOParallelXMLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 95K Dec 17 2017 libvtkIOParallelXMLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOParallelXMLTCL-6.3.so.6.3 -> libvtkIOParallelXMLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkIOParallelXMLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkIOPostgreSQL-6.3.so.6.3 -> libvtkIOPostgreSQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 160K Dec 17 2017 libvtkIOPostgreSQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkIOPostgreSQLPython27D-6.3.so.6.3 -> libvtkIOPostgreSQLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkIOPostgreSQLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOPostgreSQLTCL-6.3.so.6.3 -> libvtkIOPostgreSQLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 59K Dec 17 2017 libvtkIOPostgreSQLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOSQL-6.3.so.6.3 -> libvtkIOSQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 277K Dec 17 2017 libvtkIOSQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOSQLPython27D-6.3.so.6.3 -> libvtkIOSQLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 202K Dec 17 2017 libvtkIOSQLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOSQLTCL-6.3.so.6.3 -> libvtkIOSQLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 148K Dec 17 2017 libvtkIOSQLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkIOVPIC-6.3.so.6.3 -> libvtkIOVPIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkIOVPIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkIOVPICPython27D-6.3.so.6.3 -> libvtkIOVPICPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 44K Dec 17 2017 libvtkIOVPICPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkIOVPICTCL-6.3.so.6.3 -> libvtkIOVPICTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkIOVPICTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOVideo-6.3.so.6.3 -> libvtkIOVideo-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkIOVideo-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOVideoPython27D-6.3.so.6.3 -> libvtkIOVideoPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 85K Dec 17 2017 libvtkIOVideoPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 29 Dec 17 2017 libvtkIOVideoTCL-6.3.so.6.3 -> libvtkIOVideoTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkIOVideoTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkIOXML-6.3.so.6.3 -> libvtkIOXML-6.3.so.6.3.0 -rw-r--r-- 1 root root 945K Dec 17 2017 libvtkIOXML-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOXMLParser-6.3.so.6.3 -> libvtkIOXMLParser-6.3.so.6.3.0 -rw-r--r-- 1 root root 112K Dec 17 2017 libvtkIOXMLParser-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkIOXMLParserPython27D-6.3.so.6.3 -> libvtkIOXMLParserPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 69K Dec 17 2017 libvtkIOXMLParserPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOXMLParserTCL-6.3.so.6.3 -> libvtkIOXMLParserTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 51K Dec 17 2017 libvtkIOXMLParserTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkIOXMLPython27D-6.3.so.6.3 -> libvtkIOXMLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 375K Dec 17 2017 libvtkIOXMLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 27 Dec 17 2017 libvtkIOXMLTCL-6.3.so.6.3 -> libvtkIOXMLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 304K Dec 17 2017 libvtkIOXMLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkIOXdmf2-6.3.so.6.3 -> libvtkIOXdmf2-6.3.so.6.3.0 -rw-r--r-- 1 root root 335K Dec 17 2017 libvtkIOXdmf2-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkIOXdmf2Python27D-6.3.so.6.3 -> libvtkIOXdmf2Python27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 93K Dec 17 2017 libvtkIOXdmf2Python27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkIOXdmfIITCL-6.3.so.6.3 -> libvtkIOXdmfIITCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkIOXdmfIITCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkImagingColor-6.3.so.6.3 -> libvtkImagingColor-6.3.so.6.3.0 -rw-r--r-- 1 root root 280K Dec 17 2017 libvtkImagingColor-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkImagingColorPython27D-6.3.so.6.3 -> libvtkImagingColorPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 85K Dec 17 2017 libvtkImagingColorPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkImagingColorTCL-6.3.so.6.3 -> libvtkImagingColorTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 75K Dec 17 2017 libvtkImagingColorTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkImagingCore-6.3.so.6.3 -> libvtkImagingCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.9M Dec 17 2017 libvtkImagingCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingCorePython27D-6.3.so.6.3 -> libvtkImagingCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 934K Dec 17 2017 libvtkImagingCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingCoreTCL-6.3.so.6.3 -> libvtkImagingCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 625K Dec 17 2017 libvtkImagingCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingFourier-6.3.so.6.3 -> libvtkImagingFourier-6.3.so.6.3.0 -rw-r--r-- 1 root root 187K Dec 17 2017 libvtkImagingFourier-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingFourierPython27D-6.3.so.6.3 -> libvtkImagingFourierPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 103K Dec 17 2017 libvtkImagingFourierPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingFourierTCL-6.3.so.6.3 -> libvtkImagingFourierTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkImagingFourierTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingGeneral-6.3.so.6.3 -> libvtkImagingGeneral-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkImagingGeneral-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingGeneralPython27D-6.3.so.6.3 -> libvtkImagingGeneralPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 378K Dec 17 2017 libvtkImagingGeneralPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingGeneralTCL-6.3.so.6.3 -> libvtkImagingGeneralTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 348K Dec 17 2017 libvtkImagingGeneralTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkImagingHybrid-6.3.so.6.3 -> libvtkImagingHybrid-6.3.so.6.3.0 -rw-r--r-- 1 root root 505K Dec 17 2017 libvtkImagingHybrid-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkImagingHybridPython27D-6.3.so.6.3 -> libvtkImagingHybridPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 539K Dec 17 2017 libvtkImagingHybridPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkImagingHybridTCL-6.3.so.6.3 -> libvtkImagingHybridTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 315K Dec 17 2017 libvtkImagingHybridTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkImagingMath-6.3.so.6.3 -> libvtkImagingMath-6.3.so.6.3.0 -rw-r--r-- 1 root root 296K Dec 17 2017 libvtkImagingMath-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingMathPython27D-6.3.so.6.3 -> libvtkImagingMathPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 143K Dec 17 2017 libvtkImagingMathPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingMathTCL-6.3.so.6.3 -> libvtkImagingMathTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkImagingMathTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingMorphological-6.3.so.6.3 -> libvtkImagingMorphological-6.3.so.6.3.0 -rw-r--r-- 1 root root 536K Dec 17 2017 libvtkImagingMorphological-6.3.so.6.3.0 lrwxrwxrwx 1 root root 48 Dec 17 2017 libvtkImagingMorphologicalPython27D-6.3.so.6.3 -> libvtkImagingMorphologicalPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 205K Dec 17 2017 libvtkImagingMorphologicalPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingMorphologicalTCL-6.3.so.6.3 -> libvtkImagingMorphologicalTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 143K Dec 17 2017 libvtkImagingMorphologicalTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingSources-6.3.so.6.3 -> libvtkImagingSources-6.3.so.6.3.0 -rw-r--r-- 1 root root 331K Dec 17 2017 libvtkImagingSources-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingSourcesPython27D-6.3.so.6.3 -> libvtkImagingSourcesPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 253K Dec 17 2017 libvtkImagingSourcesPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingSourcesTCL-6.3.so.6.3 -> libvtkImagingSourcesTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 183K Dec 17 2017 libvtkImagingSourcesTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingStatistics-6.3.so.6.3 -> libvtkImagingStatistics-6.3.so.6.3.0 -rw-r--r-- 1 root root 156K Dec 17 2017 libvtkImagingStatistics-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkImagingStatisticsPython27D-6.3.so.6.3 -> libvtkImagingStatisticsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 138K Dec 17 2017 libvtkImagingStatisticsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkImagingStatisticsTCL-6.3.so.6.3 -> libvtkImagingStatisticsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkImagingStatisticsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkImagingStencil-6.3.so.6.3 -> libvtkImagingStencil-6.3.so.6.3.0 -rw-r--r-- 1 root root 212K Dec 17 2017 libvtkImagingStencil-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkImagingStencilPython27D-6.3.so.6.3 -> libvtkImagingStencilPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 147K Dec 17 2017 libvtkImagingStencilPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkImagingStencilTCL-6.3.so.6.3 -> libvtkImagingStencilTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 107K Dec 17 2017 libvtkImagingStencilTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkInfovisBoostGraphAlgorithms-6.3.so.6.3 -> libvtkInfovisBoostGraphAlgorithms-6.3.so.6.3.0 -rw-r--r-- 1 root root 477K Dec 17 2017 libvtkInfovisBoostGraphAlgorithms-6.3.so.6.3.0 lrwxrwxrwx 1 root root 55 Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsPython27D-6.3.so.6.3 -> libvtkInfovisBoostGraphAlgorithmsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 205K Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 49 Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsTCL-6.3.so.6.3 -> libvtkInfovisBoostGraphAlgorithmsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 163K Dec 17 2017 libvtkInfovisBoostGraphAlgorithmsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkInfovisCore-6.3.so.6.3 -> libvtkInfovisCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 1008K Dec 17 2017 libvtkInfovisCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkInfovisCorePython27D-6.3.so.6.3 -> libvtkInfovisCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 752K Dec 17 2017 libvtkInfovisCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkInfovisCoreTCL-6.3.so.6.3 -> libvtkInfovisCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 536K Dec 17 2017 libvtkInfovisCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkInfovisLayout-6.3.so.6.3 -> libvtkInfovisLayout-6.3.so.6.3.0 -rw-r--r-- 1 root root 670K Dec 17 2017 libvtkInfovisLayout-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkInfovisLayoutPython27D-6.3.so.6.3 -> libvtkInfovisLayoutPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 897K Dec 17 2017 libvtkInfovisLayoutPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkInfovisLayoutTCL-6.3.so.6.3 -> libvtkInfovisLayoutTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 600K Dec 17 2017 libvtkInfovisLayoutTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkInteractionImage-6.3.so.6.3 -> libvtkInteractionImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 152K Dec 17 2017 libvtkInteractionImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkInteractionImagePython27D-6.3.so.6.3 -> libvtkInteractionImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 144K Dec 17 2017 libvtkInteractionImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkInteractionImageTCL-6.3.so.6.3 -> libvtkInteractionImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 91K Dec 17 2017 libvtkInteractionImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkInteractionStyle-6.3.so.6.3 -> libvtkInteractionStyle-6.3.so.6.3.0 -rw-r--r-- 1 root root 537K Dec 17 2017 libvtkInteractionStyle-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkInteractionStylePython27D-6.3.so.6.3 -> libvtkInteractionStylePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 349K Dec 17 2017 libvtkInteractionStylePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkInteractionStyleTCL-6.3.so.6.3 -> libvtkInteractionStyleTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 219K Dec 17 2017 libvtkInteractionStyleTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkInteractionWidgets-6.3.so.6.3 -> libvtkInteractionWidgets-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.2M Dec 17 2017 libvtkInteractionWidgets-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkInteractionWidgetsPython27D-6.3.so.6.3 -> libvtkInteractionWidgetsPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.6M Dec 17 2017 libvtkInteractionWidgetsPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkInteractionWidgetsTCL-6.3.so.6.3 -> libvtkInteractionWidgetsTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.1M Dec 17 2017 libvtkInteractionWidgetsTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkLocalExample-6.3.so.6.3 -> libvtkLocalExample-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkLocalExample-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkLocalExampleTCL-6.3.so.6.3 -> libvtkLocalExampleTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkLocalExampleTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkParallelCore-6.3.so.6.3 -> libvtkParallelCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 305K Dec 17 2017 libvtkParallelCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkParallelCorePython27D-6.3.so.6.3 -> libvtkParallelCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 376K Dec 17 2017 libvtkParallelCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkParallelCoreTCL-6.3.so.6.3 -> libvtkParallelCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 152K Dec 17 2017 libvtkParallelCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkParallelMPI-6.3.so.6.3 -> libvtkParallelMPI-6.3.so.6.3.0 -rw-r--r-- 1 root root 149K Dec 17 2017 libvtkParallelMPI-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkParallelMPI4Py-6.3.so.6.3 -> libvtkParallelMPI4Py-6.3.so.6.3.0 -rw-r--r-- 1 root root 68K Dec 17 2017 libvtkParallelMPI4Py-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkParallelMPI4PyPython27D-6.3.so.6.3 -> libvtkParallelMPI4PyPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkParallelMPI4PyPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkParallelMPIPython27D-6.3.so.6.3 -> libvtkParallelMPIPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 73K Dec 17 2017 libvtkParallelMPIPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkParallelMPITCL-6.3.so.6.3 -> libvtkParallelMPITCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 35K Dec 17 2017 libvtkParallelMPITCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkPythonInterpreter-6.3.so.6.3 -> libvtkPythonInterpreter-6.3.so.6.3.0 -rw-r--r-- 1 root root 40K Dec 17 2017 libvtkPythonInterpreter-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkPythonInterpreterPython27D-6.3.so.6.3 -> libvtkPythonInterpreterPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 28K Dec 17 2017 libvtkPythonInterpreterPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkPythonInterpreterTCL-6.3.so.6.3 -> libvtkPythonInterpreterTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkPythonInterpreterTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkRenderingAnnotation-6.3.so.6.3 -> libvtkRenderingAnnotation-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.3M Dec 17 2017 libvtkRenderingAnnotation-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkRenderingAnnotationPython27D-6.3.so.6.3 -> libvtkRenderingAnnotationPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.9M Dec 17 2017 libvtkRenderingAnnotationPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingAnnotationTCL-6.3.so.6.3 -> libvtkRenderingAnnotationTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 945K Dec 17 2017 libvtkRenderingAnnotationTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingContext2D-6.3.so.6.3 -> libvtkRenderingContext2D-6.3.so.6.3.0 -rw-r--r-- 1 root root 252K Dec 17 2017 libvtkRenderingContext2D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkRenderingContext2DPython27D-6.3.so.6.3 -> libvtkRenderingContext2DPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 320K Dec 17 2017 libvtkRenderingContext2DPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingContextIIDTCL-6.3.so.6.3 -> libvtkRenderingContextIIDTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 212K Dec 17 2017 libvtkRenderingContextIIDTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingContextOpenGL-6.3.so.6.3 -> libvtkRenderingContextOpenGL-6.3.so.6.3.0 -rw-r--r-- 1 root root 196K Dec 17 2017 libvtkRenderingContextOpenGL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 50 Dec 17 2017 libvtkRenderingContextOpenGLPython27D-6.3.so.6.3 -> libvtkRenderingContextOpenGLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkRenderingContextOpenGLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkRenderingContextOpenGLTCL-6.3.so.6.3 -> libvtkRenderingContextOpenGLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkRenderingContextOpenGLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 32 Dec 17 2017 libvtkRenderingCore-6.3.so.6.3 -> libvtkRenderingCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.5M Dec 17 2017 libvtkRenderingCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingCorePython27D-6.3.so.6.3 -> libvtkRenderingCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 3.6M Dec 17 2017 libvtkRenderingCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkRenderingCoreTCL-6.3.so.6.3 -> libvtkRenderingCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.2M Dec 17 2017 libvtkRenderingCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingExternal-6.3.so.6.3 -> libvtkRenderingExternal-6.3.so.6.3.0 -rw-r--r-- 1 root root 236K Dec 17 2017 libvtkRenderingExternal-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkRenderingExternalPython27D-6.3.so.6.3 -> libvtkRenderingExternalPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 86K Dec 17 2017 libvtkRenderingExternalPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingExternalTCL-6.3.so.6.3 -> libvtkRenderingExternalTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkRenderingExternalTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingFreeType-6.3.so.6.3 -> libvtkRenderingFreeType-6.3.so.6.3.0 -rw-r--r-- 1 root root 781K Dec 17 2017 libvtkRenderingFreeType-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkRenderingFreeTypeFontConfig-6.3.so.6.3 -> libvtkRenderingFreeTypeFontConfig-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkRenderingFreeTypeFontConfig-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkRenderingFreeTypePython27D-6.3.so.6.3 -> libvtkRenderingFreeTypePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 61K Dec 17 2017 libvtkRenderingFreeTypePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingFreeTypeTCL-6.3.so.6.3 -> libvtkRenderingFreeTypeTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 47K Dec 17 2017 libvtkRenderingFreeTypeTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingGL2PS-6.3.so.6.3 -> libvtkRenderingGL2PS-6.3.so.6.3.0 -rw-r--r-- 1 root root 112K Dec 17 2017 libvtkRenderingGL2PS-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingGL2PSPython27D-6.3.so.6.3 -> libvtkRenderingGL2PSPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkRenderingGL2PSPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingGLtoPSTCL-6.3.so.6.3 -> libvtkRenderingGLtoPSTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkRenderingGLtoPSTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingImage-6.3.so.6.3 -> libvtkRenderingImage-6.3.so.6.3.0 -rw-r--r-- 1 root root 136K Dec 17 2017 libvtkRenderingImage-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingImagePython27D-6.3.so.6.3 -> libvtkRenderingImagePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 110K Dec 17 2017 libvtkRenderingImagePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingImageTCL-6.3.so.6.3 -> libvtkRenderingImageTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 63K Dec 17 2017 libvtkRenderingImageTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkRenderingLIC-6.3.so.6.3 -> libvtkRenderingLIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 647K Dec 17 2017 libvtkRenderingLIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingLICPython27D-6.3.so.6.3 -> libvtkRenderingLICPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 164K Dec 17 2017 libvtkRenderingLICPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingLICTCL-6.3.so.6.3 -> libvtkRenderingLICTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkRenderingLICTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkRenderingLOD-6.3.so.6.3 -> libvtkRenderingLOD-6.3.so.6.3.0 -rw-r--r-- 1 root root 99K Dec 17 2017 libvtkRenderingLOD-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingLODPython27D-6.3.so.6.3 -> libvtkRenderingLODPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 106K Dec 17 2017 libvtkRenderingLODPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingLODTCL-6.3.so.6.3 -> libvtkRenderingLODTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 59K Dec 17 2017 libvtkRenderingLODTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingLabel-6.3.so.6.3 -> libvtkRenderingLabel-6.3.so.6.3.0 -rw-r--r-- 1 root root 689K Dec 17 2017 libvtkRenderingLabel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingLabelPython27D-6.3.so.6.3 -> libvtkRenderingLabelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 434K Dec 17 2017 libvtkRenderingLabelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingLabelTCL-6.3.so.6.3 -> libvtkRenderingLabelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 239K Dec 17 2017 libvtkRenderingLabelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkRenderingMatplotlib-6.3.so.6.3 -> libvtkRenderingMatplotlib-6.3.so.6.3.0 -rw-r--r-- 1 root root 67K Dec 17 2017 libvtkRenderingMatplotlib-6.3.so.6.3.0 lrwxrwxrwx 1 root root 47 Dec 17 2017 libvtkRenderingMatplotlibPython27D-6.3.so.6.3 -> libvtkRenderingMatplotlibPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkRenderingMatplotlibPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 41 Dec 17 2017 libvtkRenderingMatplotlibTCL-6.3.so.6.3 -> libvtkRenderingMatplotlibTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 23K Dec 17 2017 libvtkRenderingMatplotlibTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingOpenGL-6.3.so.6.3 -> libvtkRenderingOpenGL-6.3.so.6.3.0 -rw-r--r-- 1 root root 2.7M Dec 17 2017 libvtkRenderingOpenGL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkRenderingOpenGLPython27D-6.3.so.6.3 -> libvtkRenderingOpenGLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 983K Dec 17 2017 libvtkRenderingOpenGLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingOpenGLTCL-6.3.so.6.3 -> libvtkRenderingOpenGLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 711K Dec 17 2017 libvtkRenderingOpenGLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 36 Dec 17 2017 libvtkRenderingParallel-6.3.so.6.3 -> libvtkRenderingParallel-6.3.so.6.3.0 -rw-r--r-- 1 root root 341K Dec 17 2017 libvtkRenderingParallel-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingParallelLIC-6.3.so.6.3 -> libvtkRenderingParallelLIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 621K Dec 17 2017 libvtkRenderingParallelLIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 48 Dec 17 2017 libvtkRenderingParallelLICPython27D-6.3.so.6.3 -> libvtkRenderingParallelLICPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 48K Dec 17 2017 libvtkRenderingParallelLICPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkRenderingParallelLICTCL-6.3.so.6.3 -> libvtkRenderingParallelLICTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkRenderingParallelLICTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 45 Dec 17 2017 libvtkRenderingParallelPython27D-6.3.so.6.3 -> libvtkRenderingParallelPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 284K Dec 17 2017 libvtkRenderingParallelPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkRenderingParallelTCL-6.3.so.6.3 -> libvtkRenderingParallelTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 179K Dec 17 2017 libvtkRenderingParallelTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkRenderingTkTCL-6.3.so.6.3 -> libvtkRenderingTkTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 104K Dec 17 2017 libvtkRenderingTkTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkRenderingVolume-6.3.so.6.3 -> libvtkRenderingVolume-6.3.so.6.3.0 -rw-r--r-- 1 root root 4.2M Dec 17 2017 libvtkRenderingVolume-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingVolumeAMR-6.3.so.6.3 -> libvtkRenderingVolumeAMR-6.3.so.6.3.0 -rw-r--r-- 1 root root 87K Dec 17 2017 libvtkRenderingVolumeAMR-6.3.so.6.3.0 lrwxrwxrwx 1 root root 46 Dec 17 2017 libvtkRenderingVolumeAMRPython27D-6.3.so.6.3 -> libvtkRenderingVolumeAMRPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 69K Dec 17 2017 libvtkRenderingVolumeAMRPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingVolumeAMRTCL-6.3.so.6.3 -> libvtkRenderingVolumeAMRTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 39K Dec 17 2017 libvtkRenderingVolumeAMRTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkRenderingVolumeOpenGL-6.3.so.6.3 -> libvtkRenderingVolumeOpenGL-6.3.so.6.3.0 -rw-r--r-- 1 root root 670K Dec 17 2017 libvtkRenderingVolumeOpenGL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 49 Dec 17 2017 libvtkRenderingVolumeOpenGLPython27D-6.3.so.6.3 -> libvtkRenderingVolumeOpenGLPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 127K Dec 17 2017 libvtkRenderingVolumeOpenGLPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkRenderingVolumeOpenGLTCL-6.3.so.6.3 -> libvtkRenderingVolumeOpenGLTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 91K Dec 17 2017 libvtkRenderingVolumeOpenGLTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 43 Dec 17 2017 libvtkRenderingVolumePython27D-6.3.so.6.3 -> libvtkRenderingVolumePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkRenderingVolumePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkRenderingVolumeTCL-6.3.so.6.3 -> libvtkRenderingVolumeTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 620K Dec 17 2017 libvtkRenderingVolumeTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkTestingGenericBridge-6.3.so.6.3 -> libvtkTestingGenericBridge-6.3.so.6.3.0 -rw-r--r-- 1 root root 132K Dec 17 2017 libvtkTestingGenericBridge-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkTestingIOSQL-6.3.so.6.3 -> libvtkTestingIOSQL-6.3.so.6.3.0 -rw-r--r-- 1 root root 15K Dec 17 2017 libvtkTestingIOSQL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 35 Dec 17 2017 libvtkTestingRendering-6.3.so.6.3 -> libvtkTestingRendering-6.3.so.6.3.0 -rw-r--r-- 1 root root 136K Dec 17 2017 libvtkTestingRendering-6.3.so.6.3.0 lrwxrwxrwx 1 root root 44 Dec 17 2017 libvtkTestingRenderingPython27D-6.3.so.6.3 -> libvtkTestingRenderingPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 61K Dec 17 2017 libvtkTestingRenderingPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 38 Dec 17 2017 libvtkTestingRenderingTCL-6.3.so.6.3 -> libvtkTestingRenderingTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkTestingRenderingTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 23 Dec 17 2017 libvtkVPIC-6.3.so.6.3 -> libvtkVPIC-6.3.so.6.3.0 -rw-r--r-- 1 root root 95K Dec 17 2017 libvtkVPIC-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkViewsContext2D-6.3.so.6.3 -> libvtkViewsContext2D-6.3.so.6.3.0 -rw-r--r-- 1 root root 75K Dec 17 2017 libvtkViewsContext2D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 42 Dec 17 2017 libvtkViewsContext2DPython27D-6.3.so.6.3 -> libvtkViewsContext2DPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 32K Dec 17 2017 libvtkViewsContext2DPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkViewsContextIIDTCL-6.3.so.6.3 -> libvtkViewsContextIIDTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkViewsContextIIDTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 28 Dec 17 2017 libvtkViewsCore-6.3.so.6.3 -> libvtkViewsCore-6.3.so.6.3.0 -rw-r--r-- 1 root root 172K Dec 17 2017 libvtkViewsCore-6.3.so.6.3.0 lrwxrwxrwx 1 root root 37 Dec 17 2017 libvtkViewsCorePython27D-6.3.so.6.3 -> libvtkViewsCorePython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 181K Dec 17 2017 libvtkViewsCorePython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkViewsCoreTCL-6.3.so.6.3 -> libvtkViewsCoreTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 119K Dec 17 2017 libvtkViewsCoreTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 30 Dec 17 2017 libvtkViewsGeovis-6.3.so.6.3 -> libvtkViewsGeovis-6.3.so.6.3.0 -rw-r--r-- 1 root root 71K Dec 17 2017 libvtkViewsGeovis-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkViewsGeovisPython27D-6.3.so.6.3 -> libvtkViewsGeovisPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 32K Dec 17 2017 libvtkViewsGeovisPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 33 Dec 17 2017 libvtkViewsGeovisTCL-6.3.so.6.3 -> libvtkViewsGeovisTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 27K Dec 17 2017 libvtkViewsGeovisTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkViewsInfovis-6.3.so.6.3 -> libvtkViewsInfovis-6.3.so.6.3.0 -rw-r--r-- 1 root root 1.1M Dec 17 2017 libvtkViewsInfovis-6.3.so.6.3.0 lrwxrwxrwx 1 root root 40 Dec 17 2017 libvtkViewsInfovisPython27D-6.3.so.6.3 -> libvtkViewsInfovisPython27D-6.3.so.6.3.0 -rw-r--r-- 1 root root 927K Dec 17 2017 libvtkViewsInfovisPython27D-6.3.so.6.3.0 lrwxrwxrwx 1 root root 34 Dec 17 2017 libvtkViewsInfovisTCL-6.3.so.6.3 -> libvtkViewsInfovisTCL-6.3.so.6.3.0 -rw-r--r-- 1 root root 565K Dec 17 2017 libvtkViewsInfovisTCL-6.3.so.6.3.0 lrwxrwxrwx 1 root root 31 Dec 17 2017 libvtkWrappingJava-6.3.so.6.3 -> libvtkWrappingJava-6.3.so.6.3.0 -rw-r--r-- 1 root root 19K Dec 17 2017 libvtkWrappingJava-6.3.so.6.3.0 lrwxrwxrwx 1 root root 39 Dec 17 2017 libvtkWrappingPython27Core-6.3.so.6.3 -> libvtkWrappingPython27Core-6.3.so.6.3.0 -rw-r--r-- 1 root root 180K Dec 17 2017 libvtkWrappingPython27Core-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkalglib-6.3.so.6.3 -> libvtkalglib-6.3.so.6.3.0 -rw-r--r-- 1 root root 139K Dec 17 2017 libvtkalglib-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkexoIIc-6.3.so.6.3 -> libvtkexoIIc-6.3.so.6.3.0 -rw-r--r-- 1 root root 288K Dec 17 2017 libvtkexoIIc-6.3.so.6.3.0 lrwxrwxrwx 1 root root 23 Dec 17 2017 libvtkftgl-6.3.so.6.3 -> libvtkftgl-6.3.so.6.3.0 -rw-r--r-- 1 root root 43K Dec 17 2017 libvtkftgl-6.3.so.6.3.0 lrwxrwxrwx 1 root root 25 Dec 17 2017 libvtkmetaio-6.3.so.6.3 -> libvtkmetaio-6.3.so.6.3.0 -rw-r--r-- 1 root root 591K Dec 17 2017 libvtkmetaio-6.3.so.6.3.0 lrwxrwxrwx 1 root root 22 Dec 17 2017 libvtksys-6.3.so.6.3 -> libvtksys-6.3.so.6.3.0 -rw-r--r-- 1 root root 278K Dec 17 2017 libvtksys-6.3.so.6.3.0 lrwxrwxrwx 1 root root 26 Dec 17 2017 libvtkverdict-6.3.so.6.3 -> libvtkverdict-6.3.so.6.3.0 -rw-r--r-- 1 root root 195K Dec 17 2017 libvtkverdict-6.3.so.6.3.0 lrwxrwxrwx 1 root root 24 Dec 17 2017 libvtkxdmf2-6.3.so.6.3 -> libvtkxdmf2-6.3.so.6.3.0 -rw-r--r-- 1 root root 472K Dec 17 2017 libvtkxdmf2-6.3.so.6.3.0 lrwxrwxrwx 1 root root 19 Jan 5 2021 libwavpack.so.1 -> libwavpack.so.1.2.0 -rw-r--r-- 1 root root 167K Jan 5 2021 libwavpack.so.1.2.0 lrwxrwxrwx 1 root root 26 Feb 1 2020 libwayland-client.so.0 -> libwayland-client.so.0.3.0 -rw-r--r-- 1 root root 60K Feb 1 2020 libwayland-client.so.0.3.0 lrwxrwxrwx 1 root root 26 Feb 1 2020 libwayland-cursor.so.0 -> libwayland-cursor.so.0.0.0 -rw-r--r-- 1 root root 31K Feb 1 2020 libwayland-cursor.so.0.0.0 lrwxrwxrwx 1 root root 23 Feb 1 2020 libwayland-egl.so.1 -> libwayland-egl.so.1.0.0 -rw-r--r-- 1 root root 5.9K Feb 1 2020 libwayland-egl.so.1.0.0 lrwxrwxrwx 1 root root 16 May 20 2021 libwebp.so.6 -> libwebp.so.6.0.2 -rw-r--r-- 1 root root 411K May 20 2021 libwebp.so.6.0.2 lrwxrwxrwx 1 root root 19 May 20 2021 libwebpmux.so.3 -> libwebpmux.so.3.0.1 -rw-r--r-- 1 root root 39K May 20 2021 libwebpmux.so.3.0.1 lrwxrwxrwx 1 root root 16 Dec 15 2017 libwind.so.0 -> libwind.so.0.0.0 -rw-r--r-- 1 root root 162K Dec 15 2017 libwind.so.0.0.0 -rw-r--r-- 1 root root 1.2M Jan 19 2018 libx264.so.152 -rw-r--r-- 1 root root 11M Dec 31 2017 libx265.so.146 lrwxrwxrwx 1 root root 20 Jun 21 2018 libxcb-dri2.so.0 -> libxcb-dri2.so.0.0.0 -rw-r--r-- 1 root root 19K Jun 21 2018 libxcb-dri2.so.0.0.0 lrwxrwxrwx 1 root root 20 Jun 21 2018 libxcb-dri3.so.0 -> libxcb-dri3.so.0.0.0 -rw-r--r-- 1 root root 15K Jun 21 2018 libxcb-dri3.so.0.0.0 lrwxrwxrwx 1 root root 19 Jun 21 2018 libxcb-glx.so.0 -> libxcb-glx.so.0.0.0 -rw-r--r-- 1 root root 107K Jun 21 2018 libxcb-glx.so.0.0.0 lrwxrwxrwx 1 root root 23 Jun 21 2018 libxcb-present.so.0 -> libxcb-present.so.0.0.0 -rw-r--r-- 1 root root 11K Jun 21 2018 libxcb-present.so.0.0.0 lrwxrwxrwx 1 root root 22 Jun 21 2018 libxcb-render.so.0 -> libxcb-render.so.0.0.0 -rw-r--r-- 1 root root 51K Jun 21 2018 libxcb-render.so.0.0.0 lrwxrwxrwx 1 root root 19 Jun 21 2018 libxcb-shm.so.0 -> libxcb-shm.so.0.0.0 -rw-r--r-- 1 root root 11K Jun 21 2018 libxcb-shm.so.0.0.0 lrwxrwxrwx 1 root root 20 Jun 21 2018 libxcb-sync.so.1 -> libxcb-sync.so.1.0.0 -rw-r--r-- 1 root root 27K Jun 21 2018 libxcb-sync.so.1.0.0 lrwxrwxrwx 1 root root 15 Jun 21 2018 libxcb.so.1 -> libxcb.so.1.1.0 -rw-r--r-- 1 root root 159K Jun 21 2018 libxcb.so.1.1.0 lrwxrwxrwx 1 root root 16 Mar 24 2018 libxdot.so -> libxdot.so.4.0.0 lrwxrwxrwx 1 root root 16 Mar 24 2018 libxdot.so.4 -> libxdot.so.4.0.0 -rw-r--r-- 1 root root 23K Mar 24 2018 libxdot.so.4.0.0 -rw-r--r-- 1 root root 3.5M Nov 10 2017 libxerces-c-3.2.so lrwxrwxrwx 1 root root 21 Mar 5 2019 libxkbcommon.so.0 -> libxkbcommon.so.0.0.0 -rw-r--r-- 1 root root 251K Mar 5 2019 libxkbcommon.so.0.0.0 -rw-r--r-- 1 root root 2.9M Aug 1 14:25 libxml2.a lrwxrwxrwx 1 root root 16 Aug 1 14:25 libxml2.so -> libxml2.so.2.9.4 lrwxrwxrwx 1 root root 16 Aug 1 14:25 libxml2.so.2 -> libxml2.so.2.9.4 -rw-r--r-- 1 root root 1.8M Aug 1 14:25 libxml2.so.2.9.4 lrwxrwxrwx 1 root root 21 Mar 18 2018 libxshmfence.so.1 -> libxshmfence.so.1.0.0 -rw-r--r-- 1 root root 6.1K Mar 18 2018 libxshmfence.so.1.0.0 lrwxrwxrwx 1 root root 18 Jan 28 2018 libxvidcore.so.4 -> libxvidcore.so.4.3 -rw-r--r-- 1 root root 672K Jan 28 2018 libxvidcore.so.4.3 -rw-r--r-- 1 root root 162K Mar 26 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 Aug 16 08:53 nss drwxr-xr-x 2 root root 4.0K Aug 16 08:53 odbc drwxr-xr-x 2 root root 4.0K Aug 16 08:53 openblas drwxr-xr-x 3 root root 4.0K Aug 16 08:53 openmpi drwxr-xr-x 1 root root 4.0K May 28 19:15 perl drwxr-xr-x 16 root root 4.0K Apr 28 00:03 perl-base drwxr-xr-x 2 root root 4.0K Aug 16 08:54 pkgconfig -rw-r--r-- 1 root root 1.8K May 3 10:19 rcrt1.o drwxr-xr-x 2 root root 4.0K Aug 16 08:53 rsocket drwxr-xr-x 2 root root 4.0K May 23 21:53 sasl2 drwxr-xr-x 2 root root 4.0K May 28 19:16 stubs drwxr-xr-x 2 root root 4.0K Aug 16 08:53 vdpau drwxr-xr-x 2 root root 4.0K Aug 16 08:53 x264-10bit -rw-r--r-- 1 root root 204 Aug 1 14:25 xml2Conf.sh [Pipeline] echo Packing build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so into dgl-gpu-linux [Pipeline] stash Stashed 4 file(s) Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 df6c58298c69abce94df4aea31620abff77b08149f0fbc189f10cc9a918e52c7 $ docker rm -f df6c58298c69abce94df4aea31620abff77b08149f0fbc189f10cc9a918e52c7 [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 [ 60%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_sort.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_cumsum.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/array.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/array_arith.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_nonzero.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/array_scatter.cc.o [ 61%] Building CXX object CMakeFiles/dgl.dir/src/array/cpu/coo_coalesce.cc.o [ 61%] Building CXX object 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CMakeFiles/dgl.dir/src/graph/transform/to_bipartite.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/randomwalks/randomwalk_cpu.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/to_simple.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/metis_partition_hetero.cc.o [ 86%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/union_partition.cc.o [ 87%] Building CXX object CMakeFiles/dgl.dir/src/graph/sampling/negative/global_uniform.cc.o [ 89%] Building CXX object CMakeFiles/dgl.dir/src/graph/traversal.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/remove_edges.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/scheduler/scheduler.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/transform/partition_hetero.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/common.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/socket_pool.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/tcp_socket.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/graph/unit_graph.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/socket_communicator.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/rpc/tensorpipe/tp_communicator.cc.o [ 90%] Building CXX object CMakeFiles/dgl.dir/src/array/cuda/csr_transpose.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/rpc/network/msg_queue.cc.o [ 91%] Building CXX object CMakeFiles/dgl.dir/src/runtime/cuda/cuda_device_api.cc.o [ 92%] Building CXX object CMakeFiles/dgl.dir/src/rpc/rpc.cc.o /root/jenkins/workspace/dgl_PR-4499@3/src/graph/serialize/zerocopy_serializer.cc: In function ‘void dgl::RawDataTensoDLPackDeleter(DLManagedTensor*)’: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/rpc/network/common.cc: In function ‘void dgl::network::StringAppendV(std::string*, const char*, __va_list_tag*)’: /root/jenkins/workspace/dgl_PR-4499@3/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))) { | ~~~~~~~^~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/graph/gk_ops.cc: In function ‘gk_csr_t* dgl::Convert2GKCsr(dgl::aten::CSRMatrix, bool)’: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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"); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/geometry/../c_api_common.h:10, from /root/jenkins/workspace/dgl_PR-4499@3/src/geometry/geometry.cc:9: /root/jenkins/workspace/dgl_PR-4499@3/include/dgl/runtime/packed_func.h:502:21: warning: inline function ‘TObjectRef dgl::runtime::DGLArgValue::AsObjectRef() const [with TObjectRef = dgl::HeteroGraphRef]’ used but never defined 502 | inline TObjectRef AsObjectRef() const; | ^~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4499@3/include/dgl/runtime/object.h:9, from /root/jenkins/workspace/dgl_PR-4499@3/src/partition/ndarray_partition.h:11, from /root/jenkins/workspace/dgl_PR-4499@3/src/partition/ndarray_partition.cc:7: /root/jenkins/workspace/dgl_PR-4499@3/src/partition/ndarray_partition.cc: In member function ‘virtual int64_t dgl::partition::RangePartition::PartSize(int) const’: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/graph/heterograph_capi.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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) { | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/graph/transform/cpu/knn.cc:590:47: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/array/libra_partition.cc:316:3: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/src/graph/transform/cpu/knn.cc:594:47: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/graph/transform/cpu/knn.cc:598:47: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/graph/transform/cpu/knn.cc:602:47: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/graph/transform/compact.cc:146:59: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/src/graph/transform/compact.cc:154:59: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/libra_partition.cc: In function ‘dgl::runtime::List dgl::aten::Libra2dglBuildDict(dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, dgl::runtime::NDArray, int32_t, int32_t, int64_t, const string&)’: /root/jenkins/workspace/dgl_PR-4499@3/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 | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4499@3/include/dgl/array.h:13, from /root/jenkins/workspace/dgl_PR-4499@3/include/dgl/graph_interface.h:16, from /root/jenkins/workspace/dgl_PR-4499@3/include/dgl/sampler.h:13, from /root/jenkins/workspace/dgl_PR-4499@3/src/graph/sampler.cc:6: /root/jenkins/workspace/dgl_PR-4499@3/src/graph/sampler.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/include/dgl/./aten/macro.h:121:6: note: in definition of macro ‘ATEN_FLOAT_TYPE_SWITCH’ 121 | {__VA_ARGS__} \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/graph/sampler.cc:938:11: note: in expansion of macro ‘CHECK’ 938 | CHECK(probability->shape[0] == gptr->NumEdges()) | ^~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/include/dgl/./aten/macro.h:124:6: note: in definition of macro ‘ATEN_FLOAT_TYPE_SWITCH’ 124 | {__VA_ARGS__} \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/third_party/dmlc-core/include/dmlc/logging.h:132, from /root/jenkins/workspace/dgl_PR-4499@3/include/dgl/./runtime/object.h:9, from /root/jenkins/workspace/dgl_PR-4499@3/include/dgl/graph_interface.h:15, from /root/jenkins/workspace/dgl_PR-4499@3/include/dgl/sampler.h:13, from /root/jenkins/workspace/dgl_PR-4499@3/src/graph/sampler.cc:6: /root/jenkins/workspace/dgl_PR-4499@3/src/graph/sampler.cc: In member function ‘dgl::NegSubgraph dgl::{anonymous}::EdgeSamplerObject::genNegEdgeSubgraph(const dgl::Subgraph&, const string&, int64_t, bool, bool)’: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ In file included from /root/jenkins/workspace/dgl_PR-4499@3/third_party/dmlc-core/include/dmlc/io.h:15, from /root/jenkins/workspace/dgl_PR-4499@3/include/dgl/./aten/../runtime/serializer.h:10, from /root/jenkins/workspace/dgl_PR-4499@3/include/dgl/./aten/../runtime/ndarray.h:18, from /root/jenkins/workspace/dgl_PR-4499@3/include/dgl/./aten/types.h:10, from /root/jenkins/workspace/dgl_PR-4499@3/include/dgl/array.h:11, from /root/jenkins/workspace/dgl_PR-4499@3/include/dgl/random.h:10, from /root/jenkins/workspace/dgl_PR-4499@3/src/array/libra_partition.cc:15: /root/jenkins/workspace/dgl_PR-4499@3/src/array/libra_partition.cc: In function ‘int32_t dgl::aten::Ver2partition(IdType, int64_t*, int32_t) [with IdType = long int]’: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/libra_partition.cc:42:3: note: in expansion of macro ‘LOG’ 42 | LOG(FATAL) << "Error: Unexpected output in Ver2partition!"; | ^~~ In file included from /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/./spmm.h:18, from /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:6: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/spmm.cc:138:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/spmm.cc:142:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/spmm.cc:146:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/spmm.cc:150:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:30:7: note: in expansion of macro ‘SWITCH_OP’ 30 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/spmm.cc:158:49: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/spmm.cc:165:49: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/spmm.cc:172:49: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/rpc/rpc.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/spmm.cc:179:49: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/rpc/rpc.cc: In lambda function: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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) { | ~~^~~~~~~~~~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/spmm.cc:186:49: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/spmm.cc:193:49: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:155:9: note: in definition of macro ‘SWITCH_BITS’ 155 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/src/array/cpu/spmm.cc:79:7: note: in expansion of macro ‘SWITCH_OP’ 79 | SWITCH_OP(op, Op, { | ^~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/./spmm_binary_ops.h:158:9: note: in definition of macro ‘SWITCH_BITS’ 158 | { __VA_ARGS__ } \ | ^~~~~~~~~~~ /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/src/array/cpu/spmm.cc:6: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/array/cpu/spmm.cc:130:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/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-4499@3/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-4499@3/src/array/cpu/spmm.cc:134:76: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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; | ^~~~~~~ [ 93%] Linking CXX shared library libdgl.so [ 93%] Built target dgl [ 93%] Building CXX object CMakeFiles/rpc_client.dir/tests/dist/cpp/rpc_client.cc.o [ 93%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/graph_index_test.cc.o [ 95%] Building CXX object CMakeFiles/rpc_server.dir/tests/dist/cpp/rpc_server.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/socket_communicator_test.cc.o [ 95%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/message_queue_test.cc.o [ 96%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_rowwise.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_coo.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_sampler.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_smart_ptr_serialize.cc.o [ 97%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_csrmm.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_zerocopy_serialize.cc.o [ 98%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmat_csr.cc.o [ 98%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_serialize.cc.o [ 98%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_aten.cc.o [100%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/string_test.cc.o [100%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_spmm.cc.o [100%] Building CXX object CMakeFiles/runUnitTests.dir/tests/cpp/test_unit_graph.cc.o /root/jenkins/workspace/dgl_PR-4499@3/tests/dist/cpp/rpc_client.cc: In member function ‘void RPCClient::StartClient()’: /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/tests/cpp/test_partition.cc: In instantiation of ‘void _TestRemainder_MapToX() [with DLDeviceType XPU = kDLGPU; IdType = int]’: /root/jenkins/workspace/dgl_PR-4499@3/tests/cpp/test_partition.cc:86:42: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/tests/cpp/test_partition.cc: In instantiation of ‘void _TestRemainder_MapToX() [with DLDeviceType XPU = kDLGPU; IdType = long int]’: /root/jenkins/workspace/dgl_PR-4499@3/tests/cpp/test_partition.cc:87:42: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/tests/cpp/test_partition.cc: In instantiation of ‘void _TestRange_MapToX() [with DLDeviceType XPU = kDLGPU; IdType = int]’: /root/jenkins/workspace/dgl_PR-4499@3/tests/cpp/test_partition.cc:195:38: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3/tests/cpp/test_partition.cc: In instantiation of ‘void _TestRange_MapToX() [with DLDeviceType XPU = kDLGPU; IdType = long int]’: /root/jenkins/workspace/dgl_PR-4499@3/tests/cpp/test_partition.cc:196:38: required from here /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@3 ~/jenkins/workspace/dgl_PR-4499@3/python ~/jenkins/workspace/dgl_PR-4499@3 WARNING: Skipping dgl as it is not installed. WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv [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 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 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 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 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 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-4499@3/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-4499@3/python/dgl/_ffi/_cython/core.pyx tree = Parsing.p_module(s, pxd, full_module_name) ~/jenkins/workspace/dgl_PR-4499@3 [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/..2b4b6f6adf15.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/..2b4b6f6adf15.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 2022 Mcrt1.o -rw-r--r-- 1 root root 1.9K Feb 24 2022 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 2022 crt1.o -rw-r--r-- 1 root root 1.4K Feb 24 2022 crti.o -rw-r--r-- 1 root root 760 Feb 24 2022 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 2022 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 2022 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 2022 ld-2.31.so lrwxrwxrwx 1 root root 10 Feb 24 2022 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 2022 libBrokenLocale-2.31.so -rw-r--r-- 1 root root 2.1K Feb 24 2022 libBrokenLocale.a lrwxrwxrwx 1 root root 42 Feb 24 2022 libBrokenLocale.so -> /lib/x86_64-linux-gnu/libBrokenLocale.so.1 lrwxrwxrwx 1 root root 23 Feb 24 2022 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 2022 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 2022 libanl-2.31.so -rw-r--r-- 1 root root 23K Feb 24 2022 libanl.a lrwxrwxrwx 1 root root 33 Feb 24 2022 libanl.so -> /lib/x86_64-linux-gnu/libanl.so.1 lrwxrwxrwx 1 root root 14 Feb 24 2022 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 2022 libc-2.31.so -rw-r--r-- 1 root root 5.5M Feb 24 2022 libc.a -rw-r--r-- 1 root root 298 Feb 24 2022 libc.so lrwxrwxrwx 1 root root 12 Feb 24 2022 libc.so.6 -> libc-2.31.so -rw-r--r-- 1 root root 24K Feb 24 2022 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 2022 libdl-2.31.so -rw-r--r-- 1 root root 15K Feb 24 2022 libdl.a lrwxrwxrwx 1 root root 32 Feb 24 2022 libdl.so -> /lib/x86_64-linux-gnu/libdl.so.2 lrwxrwxrwx 1 root root 13 Feb 24 2022 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 2022 libexpat.so.1 -> libexpat.so.1.6.11 -rw-r--r-- 1 root root 179K Feb 21 2022 libexpat.so.1.6.11 lrwxrwxrwx 1 root root 19 Feb 21 2022 libexpatw.so.1 -> libexpatw.so.1.6.11 -rw-r--r-- 1 root root 179K Feb 21 2022 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 2022 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 2022 libm-2.31.a -rw-r--r-- 1 root root 1.4M Feb 24 2022 libm-2.31.so -rw-r--r-- 1 root root 132 Feb 24 2022 libm.a -rw-r--r-- 1 root root 140 Feb 24 2022 libm.so lrwxrwxrwx 1 root root 12 Feb 24 2022 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 2022 libmcheck.a -rw-r--r-- 1 root root 50K Mar 21 2020 libmemenv.a -rw-r--r-- 1 root root 19K Feb 24 2022 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 2022 libmvec-2.31.so -rw-r--r-- 1 root root 350K Feb 24 2022 libmvec.a lrwxrwxrwx 1 root root 34 Feb 24 2022 libmvec.so -> /lib/x86_64-linux-gnu/libmvec.so.1 lrwxrwxrwx 1 root root 15 Feb 24 2022 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 2022 libnsl-2.31.so -rw-r--r-- 1 root root 207K Feb 24 2022 libnsl.a lrwxrwxrwx 1 root root 33 Feb 24 2022 libnsl.so -> /lib/x86_64-linux-gnu/libnsl.so.1 lrwxrwxrwx 1 root root 14 Feb 24 2022 libnsl.so.1 -> libnsl-2.31.so -rw-r--r-- 1 root root 43K Feb 24 2022 libnss_compat-2.31.so lrwxrwxrwx 1 root root 40 Feb 24 2022 libnss_compat.so -> /lib/x86_64-linux-gnu/libnss_compat.so.2 lrwxrwxrwx 1 root root 21 Feb 24 2022 libnss_compat.so.2 -> libnss_compat-2.31.so -rw-r--r-- 1 root root 27K Feb 24 2022 libnss_dns-2.31.so lrwxrwxrwx 1 root root 37 Feb 24 2022 libnss_dns.so -> /lib/x86_64-linux-gnu/libnss_dns.so.2 lrwxrwxrwx 1 root root 18 Feb 24 2022 libnss_dns.so.2 -> libnss_dns-2.31.so -rw-r--r-- 1 root root 51K Feb 24 2022 libnss_files-2.31.so lrwxrwxrwx 1 root root 39 Feb 24 2022 libnss_files.so -> /lib/x86_64-linux-gnu/libnss_files.so.2 lrwxrwxrwx 1 root root 20 Feb 24 2022 libnss_files.so.2 -> libnss_files-2.31.so -rw-r--r-- 1 root root 27K Feb 24 2022 libnss_hesiod-2.31.so lrwxrwxrwx 1 root root 40 Feb 24 2022 libnss_hesiod.so -> /lib/x86_64-linux-gnu/libnss_hesiod.so.2 lrwxrwxrwx 1 root root 21 Feb 24 2022 libnss_hesiod.so.2 -> libnss_hesiod-2.31.so -rw-r--r-- 1 root root 51K Feb 24 2022 libnss_nis-2.31.so lrwxrwxrwx 1 root root 37 Feb 24 2022 libnss_nis.so -> /lib/x86_64-linux-gnu/libnss_nis.so.2 lrwxrwxrwx 1 root root 18 Feb 24 2022 libnss_nis.so.2 -> libnss_nis-2.31.so -rw-r--r-- 1 root root 59K Feb 24 2022 libnss_nisplus-2.31.so lrwxrwxrwx 1 root root 41 Feb 24 2022 libnss_nisplus.so -> /lib/x86_64-linux-gnu/libnss_nisplus.so.2 lrwxrwxrwx 1 root root 22 Feb 24 2022 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 2022 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 2022 libpthread-2.31.so -rw-r--r-- 1 root root 6.3M Feb 24 2022 libpthread.a lrwxrwxrwx 1 root root 37 Feb 24 2022 libpthread.so -> /lib/x86_64-linux-gnu/libpthread.so.0 lrwxrwxrwx 1 root root 18 Feb 24 2022 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 2022 libresolv-2.31.so -rw-r--r-- 1 root root 135K Feb 24 2022 libresolv.a lrwxrwxrwx 1 root root 36 Feb 24 2022 libresolv.so -> /lib/x86_64-linux-gnu/libresolv.so.2 lrwxrwxrwx 1 root root 17 Feb 24 2022 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 2022 librpcsvc.a -rw-r--r-- 1 root root 36K Feb 24 2022 librt-2.31.so -rw-r--r-- 1 root root 81K Feb 24 2022 librt.a lrwxrwxrwx 1 root root 32 Feb 24 2022 librt.so -> /lib/x86_64-linux-gnu/librt.so.1 lrwxrwxrwx 1 root root 13 Feb 24 2022 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 2022 libsasl2.so.2 -> libsasl2.so.2.0.25 -rw-r--r-- 1 root root 111K Feb 15 2022 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 2022 libthread_db-1.0.so lrwxrwxrwx 1 root root 39 Feb 24 2022 libthread_db.so -> /lib/x86_64-linux-gnu/libthread_db.so.1 lrwxrwxrwx 1 root root 19 Feb 24 2022 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 2022 libutil-2.31.so -rw-r--r-- 1 root root 15K Feb 24 2022 libutil.a lrwxrwxrwx 1 root root 34 Feb 24 2022 libutil.so -> /lib/x86_64-linux-gnu/libutil.so.1 lrwxrwxrwx 1 root root 15 Feb 24 2022 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 2022 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 2b4b6f6adf1558d4408a78f4c18d99928ad6844f1beadcdee4fc650be3ebbb72 $ docker rm -f 2b4b6f6adf1558d4408a78f4c18d99928ad6844f1beadcdee4fc650be3ebbb72 [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 [Pipeline] nodeRunning on dglci-windows in C:\Jenkins\workspace\dgl_PR-4499 Running on dglci-windows in C:\Jenkins\workspace\dgl_PR-4499@2 [Pipeline] node [Pipeline] node [Pipeline] node Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4499 [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] node [Pipeline] { [Pipeline] { [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa Cloning the remote Git repository Cloning with configured refspecs honoured and without tags [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa Cloning the remote Git repository Cloning with configured refspecs honoured and without tags [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa 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-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init C:\Jenkins\workspace\dgl_PR-4499@2 # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.20.0.windows.1' using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +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/4499/head:refs/remotes/origin/PR-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4499/head:refs/remotes/origin/PR-4499 # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Cleaning workspace Fetching without tags Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # 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 new personal access key generated by RY220902 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4499/head:refs/remotes/origin/PR-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker pull dgllib/dgl-ci-gpu:cu101_v220816 [Pipeline] withEnv [Pipeline] { > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] stage [Pipeline] { (Torch CPU (Win64) Unit test) [Pipeline] withEnv [Pipeline] { [Pipeline] checkout The recommended git tool is: git [Pipeline] checkout using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa The recommended git tool is: git Fetching changes from the remote Git repository Cleaning workspace using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa Fetching changes from the remote Git repository Cleaning workspace Fetching without tags Fetching without tags Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba cu101_v220816: Pulling from dgllib/dgl-ci-gpu Digest: sha256:ca40fc52876a2563a4e904d0c271d658c1acc8e6a4f8611b578bb49f8c7fd925 Status: Image is up to date for dgllib/dgl-ci-gpu:cu101_v220816 docker.io/dgllib/dgl-ci-gpu:cu101_v220816 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) [Pipeline] withEnv [Pipeline] { [Pipeline] sh Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace > git rev-parse --resolve-git-dir C:\Jenkins\workspace\dgl_PR-4499\.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 new personal access key generated by RY220902 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4499 # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 > git rev-parse --resolve-git-dir C:\Jenkins\workspace\dgl_PR-4499@2\.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching upstream changes from https://github.com/dmlc/dgl.git > git --version # timeout=10 > git --version # 'git version 2.20.0.windows.1' using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4499 # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 + docker inspect -f . dgllib/dgl-ci-gpu:cu101_v220816 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dglci-manual-gpu-worker does not seem to be running inside a container $ docker run -t -d -u 0:0 --runtime nvidia -w /root/jenkins/workspace/dgl_PR-4499 -v /root/jenkins/workspace/dgl_PR-4499:/root/jenkins/workspace/dgl_PR-4499:rw,z -v /root/jenkins/workspace/dgl_PR-4499@tmp:/root/jenkins/workspace/dgl_PR-4499@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-gpu:cu101_v220816 cat $ docker top c056752d39ba795b411b19595bf3a437da23902d68710b0481350b50138c2fc4 -eo pid,comm [Pipeline] { [Pipeline] bat [Pipeline] bat [Pipeline] sh administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4499@2>git submodule update --recursive --init administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4499>git submodule update --recursive --init + 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 786e4b1b-86b9-4b2a-8500-f731d83996aa Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@60f426d5; decorates RemoteLauncher[hudson.remoting.Channel@72cc3942: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 Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into 'C:/Jenkins/workspace/dgl_PR-4499@2/third_party/METIS'... Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/METIS'... Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4499/.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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4499 # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/libxsmm'... Still waiting to schedule task Waiting for next available executor on ‘dgl-manual-large-cpu’ Still waiting to schedule task Waiting for next available executor on ‘dgl-manual-large-cpu’ Still waiting to schedule task Waiting for next available executor on ‘dglci-manual-gpu-worker’ Still waiting to schedule task Waiting for next available executor on ‘dgl-manual-large-cpu’ Still waiting to schedule task Waiting for next available executor on ‘dglci-manual-gpu-worker’ Still waiting to schedule task Waiting for next available executor on ‘dgl-manual-large-cpu’ Still waiting to schedule task Waiting for next available executor on ‘dglci-manual-gpu-worker’ Still waiting to schedule task Waiting for next available executor on ‘dgl-manual-large-cpu’ Still waiting to schedule task Waiting for next available executor on ‘dglci-manual-gpu-worker’ Still waiting to schedule task Waiting for next available executor on ‘dgl-manual-large-cpu’ Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/nanoflann'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/phmap'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/nccl'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/tensorpipe'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/xbyak'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/thrust'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/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-4499/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' 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' Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/nanoflann'... Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/nccl'... Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/phmap'... Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe'... Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/tensorpipe/third_party/googletest' Submodule 'third_party/libnop' (https://github.com/google/libnop.git) registered for path 'third_party/tensorpipe/third_party/libnop' Submodule 'third_party/libuv' (https://github.com/libuv/libuv.git) registered for path 'third_party/tensorpipe/third_party/libuv' Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/tensorpipe/third_party/pybind11' Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/thrust'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499@2/third_party/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499@2/third_party/nanoflann'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499@2/third_party/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499@2/third_party/nccl'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499@2/third_party/phmap'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499@2/third_party/xbyak'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499@2/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499@2/third_party/libxsmm'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499@2/third_party/thrust'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499@2/third_party/tvm'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into 'C:/Jenkins/workspace/dgl_PR-4499@2/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' 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' Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/libnop'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/pybind11'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm'... Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' 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/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' Submodule 'tools/clang' (https://github.com/wjakob/clang-cindex-python3) registered for path 'third_party/tensorpipe/third_party/pybind11/tools/clang' Submodule path 'third_party/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-4499/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-4499/third_party/xbyak'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/third_party/googletest'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/third_party/libnop'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/third_party/libuv'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/third_party/pybind11'... Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/thrust/dependencies/cub'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/METIS/GKlib'... Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' Submodule path 'third_party/tensorpipe/third_party/pybind11': 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-4499@2/third_party/tensorpipe/third_party/pybind11/tools/clang'... 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/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' 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-4499/third_party/tensorpipe/third_party/googletest'... Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/rang'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/vta-hw'... Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/libnop'... 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-4499>CALL tests\scripts\task_cpp_unit_test.bat Running main() from C:\Jenkins\workspace\dgl_PR-4499\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 [03:31:01] C:\Jenkins\workspace\dgl_PR-4499\src\rpc\network\msg_queue.cc:27: Message is larger than the queue. [ OK ] MessageQueueTest.AddRemove (0 ms) [ RUN ] MessageQueueTest.EmptyAndNoMoreAdd [ OK ] MessageQueueTest.EmptyAndNoMoreAdd (0 ms) [ RUN ] MessageQueueTest.MultiThread [ OK ] MessageQueueTest.MultiThread (12 ms) [----------] 3 tests from MessageQueueTest (12 ms total) [----------] 1 test from SocketCommunicatorTest [ RUN ] SocketCommunicatorTest.SendAndRecv Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/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-4499/third_party/tensorpipe/third_party/pybind11/tools/clang'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499@2/third_party/thrust/dependencies/cub'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' 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-4499/third_party/thrust/dependencies/cub'... Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into 'C:/Jenkins/workspace/dgl_PR-4499@2/third_party/tvm/3rdparty/dlpack'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499@2/third_party/tvm/3rdparty/rang'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499@2/third_party/tvm/3rdparty/dmlc-core'... Cloning into 'C:/Jenkins/workspace/dgl_PR-4499@2/third_party/tvm/3rdparty/vta-hw'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' [ OK ] SocketCommunicatorTest.SendAndRecv (6010 ms) [----------] 1 test from SocketCommunicatorTest (6010 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 (0 ms) [----------] 13 tests from ArrayTest (1 ms total) [----------] 2 tests from MatrixTest [ RUN ] MatrixTest.TestToSimpleCsr [ OK ] MatrixTest.TestToSimpleCsr (1 ms) [ RUN ] MatrixTest.TestToSimpleCoo [ OK ] MatrixTest.TestToSimpleCoo (0 ms) [----------] 2 tests from MatrixTest (1 ms total) [----------] 2 tests from DisjointUnionTest [ RUN ] DisjointUnionTest.TestDisjointUnionPartitionCoo [ OK ] DisjointUnionTest.TestDisjointUnionPartitionCoo (1 ms) [ RUN ] DisjointUnionTest.TestDisjointUnionPartitionCsr [ OK ] DisjointUnionTest.TestDisjointUnionPartitionCsr (0 ms) [----------] 2 tests from DisjointUnionTest (1 ms total) [----------] 2 tests from SliceContiguousChunk [ RUN ] SliceContiguousChunk.TestSliceContiguousChunkCoo [ OK ] SliceContiguousChunk.TestSliceContiguousChunkCoo (0 ms) [ RUN ] SliceContiguousChunk.TestSliceContiguousChunkCsr [ OK ] SliceContiguousChunk.TestSliceContiguousChunkCsr (0 ms) [----------] 2 tests from SliceContiguousChunk (0 ms total) [----------] 2 tests from MatrixUnionTest [ RUN ] MatrixUnionTest.TestMatrixUnionCsr [ OK ] MatrixUnionTest.TestMatrixUnionCsr (0 ms) [ RUN ] MatrixUnionTest.TestMatrixUnionCoo [ OK ] MatrixUnionTest.TestMatrixUnionCoo (0 ms) [----------] 2 tests from MatrixUnionTest (0 ms total) [----------] 1 test from LineGraphTest [ RUN ] LineGraphTest.LineGraphCOO [ OK ] LineGraphTest.LineGraphCOO (0 ms) [----------] 1 test from LineGraphTest (0 ms total) [----------] 3 tests from CsrmmTest [ RUN ] CsrmmTest.TestCsrmm [ OK ] CsrmmTest.TestCsrmm (1 ms) [ RUN ] CsrmmTest.TestCsrsum [ OK ] CsrmmTest.TestCsrsum (1 ms) [ RUN ] CsrmmTest.TestCsrmask [ OK ] CsrmmTest.TestCsrmask (3 ms) [----------] 3 tests from CsrmmTest (5 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 (45 ms) [ RUN ] RowwiseTest.TestCSRSamplingUniform [ OK ] RowwiseTest.TestCSRSamplingUniform (8 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSampling [ OK ] RowwiseTest.TestCSRPerEtypeSampling (11 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCSRPerEtypeSamplingUniform (5 ms) [ RUN ] RowwiseTest.TestCOOSampling 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-4499@2>CALL tests\scripts\task_unit_test.bat pytorch Requirement already satisfied: pytest in c:\program files\python36\lib\site-packages (7.0.1) Requirement already satisfied: psutil in c:\users\administrator\envs\jenkins-dgl-pr-4499-5\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: importlib-metadata>=0.12 in c:\program files\python36\lib\site-packages (from pytest) (1.7.0) Requirement already satisfied: attrs>=19.2.0 in c:\program files\python36\lib\site-packages (from pytest) (19.3.0) Requirement already satisfied: atomicwrites>=1.0 in c:\program files\python36\lib\site-packages (from pytest) (1.4.0) Requirement already satisfied: iniconfig in c:\program files\python36\lib\site-packages (from pytest) (1.0.1) Requirement already satisfied: colorama in c:\program files\python36\lib\site-packages (from pytest) (0.4.3) Requirement already satisfied: pluggy<2.0,>=0.12 in c:\program files\python36\lib\site-packages (from pytest) (0.13.1) Requirement already satisfied: py>=1.8.2 in c:\program files\python36\lib\site-packages (from pytest) (1.9.0) Requirement already satisfied: tomli>=1.0.0 in c:\program files\python36\lib\site-packages (from pytest) (1.2.3) Requirement already satisfied: packaging in c:\program files\python36\lib\site-packages (from pytest) (20.4) Requirement already satisfied: pytz>=2017.2 in c:\program files\python36\lib\site-packages (from pandas) (2021.1) Requirement already satisfied: python-dateutil>=2.7.3 in c:\program files\python36\lib\site-packages (from pandas) (2.8.1) Requirement already satisfied: numpy>=1.15.4 in c:\program files\python36\lib\site-packages (from pandas) (1.19.5) Requirement already satisfied: typing-extensions>=3.7.4.3 in c:\program files\python36\lib\site-packages (from pydantic) (4.0.1) Requirement already satisfied: dataclasses>=0.6 in c:\program files\python36\lib\site-packages (from pydantic) (0.8) Requirement already satisfied: pyparsing in c:\program files\python36\lib\site-packages (from rdflib) (2.4.7) Requirement already satisfied: six in c:\program files\python36\lib\site-packages (from rdflib) (1.15.0) Collecting isodate Using cached isodate-0.6.1-py2.py3-none-any.whl (41 kB) Requirement already satisfied: zipp>=0.5 in c:\program files\python36\lib\site-packages (from importlib-metadata>=0.12->pytest) (3.1.0) [ OK ] RowwiseTest.TestCOOSampling (2640 ms) [ RUN ] RowwiseTest.TestCOOSamplingUniform [ OK ] RowwiseTest.TestCOOSamplingUniform (213 ms) [ RUN ] RowwiseTest.TestCOOerEtypeSampling 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-4499-5\Scripts\python.exe cachedir: .pytest_cache rootdir: C:\Jenkins\workspace\dgl_PR-4499@2 collecting ... 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-4499/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/dmlc-core'... [ OK ] RowwiseTest.TestCOOerEtypeSampling (4118 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSamplingUniform 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] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/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 [ OK ] RowwiseTest.TestCOOPerEtypeSamplingUniform (2932 ms) [ RUN ] RowwiseTest.TestCSRTopk [ OK ] RowwiseTest.TestCSRTopk (3 ms) [ RUN ] RowwiseTest.TestCOOTopk [ OK ] RowwiseTest.TestCOOTopk (21 ms) [ RUN ] RowwiseTest.TestCSRSamplingBiased [ OK ] RowwiseTest.TestCSRSamplingBiased (3 ms) [----------] 11 tests from RowwiseTest (10000 ms total) [----------] 3 tests from SampleUtilsTest [ RUN ] SampleUtilsTest.TestWithReplacement [ OK ] SampleUtilsTest.TestWithReplacement (2258 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementOrder [ OK ] SampleUtilsTest.TestWithoutReplacementOrder (0 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementUnique [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-4499 ~/jenkins/workspace/dgl_PR-4499/build ~/jenkins/workspace/dgl_PR-4499 total 285M -rwxr-xr-x 1 root root 282M Sep 4 03:23 libdgl.so -rwxr-xr-x 1 root root 2.5M Sep 4 03:23 runUnitTests drwxr-xr-x 3 root root 4.0K Sep 4 03:31 tensoradapter Running main() from /root/jenkins/workspace/dgl_PR-4499@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 [03:31:22] /root/jenkins/workspace/dgl_PR-4499@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 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] [ OK ] SampleUtilsTest.TestWithoutReplacementUnique (7007 ms) [----------] 3 tests from SampleUtilsTest (9265 ms total) [----------] 3 tests from RandomTest [ RUN ] RandomTest.TestChoice [ OK ] RandomTest.TestChoice (1 ms) [ RUN ] RandomTest.TestUniformChoice [ OK ] RandomTest.TestUniformChoice (0 ms) [ RUN ] RandomTest.TestBiasedChoice [ OK ] RandomTest.TestBiasedChoice (35 ms) [----------] 3 tests from RandomTest (36 ms total) [----------] 4 tests from Serialize [ RUN ] Serialize.UnitGraph_COO [ OK ] Serialize.UnitGraph_COO (0 ms) [ RUN ] Serialize.UnitGraph_CSR [ OK ] Serialize.UnitGraph_CSR (0 ms) [ RUN ] Serialize.ImmutableGraph [ OK ] Serialize.ImmutableGraph (1 ms) [ RUN ] Serialize.HeteroGraph [ OK ] Serialize.HeteroGraph (3 ms) [----------] 4 tests from Serialize (4 ms total) [----------] 3 tests from SmartPtrTest/0, where TypeParam = class std::shared_ptr [ RUN ] SmartPtrTest/0.Obj_Test [ OK ] SmartPtrTest/0.Obj_Test (0 ms) [ RUN ] SmartPtrTest/0.Vector_Test1 [ OK ] SmartPtrTest/0.Vector_Test1 (0 ms) [ RUN ] SmartPtrTest/0.Vector_Test2 [ OK ] SmartPtrTest/0.Vector_Test2 (0 ms) [----------] 3 tests from SmartPtrTest/0 (0 ms total) [----------] 3 tests from SmartPtrTest/1, where TypeParam = class std::unique_ptr > [ RUN ] SmartPtrTest/1.Obj_Test [ OK ] SmartPtrTest/1.Obj_Test (0 ms) [ RUN ] SmartPtrTest/1.Vector_Test1 [ OK ] SmartPtrTest/1.Vector_Test1 (0 ms) [ RUN ] SmartPtrTest/1.Vector_Test2 [ OK ] SmartPtrTest/1.Vector_Test2 (0 ms) [----------] 3 tests from SmartPtrTest/1 (0 ms total) [----------] 19 tests from SpmatTest [ RUN ] SpmatTest.COOToCSR [ OK ] SpmatTest.COOToCSR (0 ms) [ RUN ] SpmatTest.TestCOOHasDuplicate [ OK ] SpmatTest.TestCOOHasDuplicate (0 ms) [ RUN ] SpmatTest.COOSort [ OK ] SpmatTest.COOSort (1 ms) [ RUN ] SpmatTest.TestCOOReorder [ OK ] SpmatTest.TestCOOReorder (1 ms) [ RUN ] SpmatTest.COOGetData [ OK ] SpmatTest.COOGetData (7 ms) [ RUN ] SpmatTest.COOGetDataAndIndices [ OK ] SpmatTest.COOGetDataAndIndices (0 ms) [ RUN ] SpmatTest.TestCSRIsNonZero [ OK ] SpmatTest.TestCSRIsNonZero (1 ms) [ RUN ] SpmatTest.TestCSRGetRowNNZ [ OK ] SpmatTest.TestCSRGetRowNNZ (0 ms) [ RUN ] SpmatTest.TestCSRGetRowColumnIndices [ OK ] SpmatTest.TestCSRGetRowColumnIndices (0 ms) [ RUN ] SpmatTest.TestCSRGetRowData [ OK ] SpmatTest.TestCSRGetRowData (0 ms) [ RUN ] SpmatTest.CSRGetData [ OK ] SpmatTest.CSRGetData (1 ms) [ RUN ] SpmatTest.CSRGetDataAndIndices [ OK ] SpmatTest.CSRGetDataAndIndices (0 ms) [ RUN ] SpmatTest.CSRTranspose [ OK ] SpmatTest.CSRTranspose (0 ms) [ RUN ] SpmatTest.CSRToCOO [ OK ] SpmatTest.CSRToCOO (0 ms) [ RUN ] SpmatTest.TestCSRSliceRows [ OK ] SpmatTest.TestCSRSliceRows (31 ms) [ RUN ] SpmatTest.CSRSliceMatrix [ OK ] SpmatTest.CSRSliceMatrix (14 ms) [ RUN ] SpmatTest.CSRHasDuplicate [ OK ] SpmatTest.CSRHasDuplicate (0 ms) [ RUN ] SpmatTest.CSRSort [ OK ] SpmatTest.CSRSort (0 ms) [ RUN ] SpmatTest.TestCSRReorder [ OK ] SpmatTest.TestCSRReorder (0 ms) [----------] 19 tests from SpmatTest (56 ms total) [----------] 7 tests from UniGraphTest [ RUN ] UniGraphTest.TestUnitGraph_CopyTo [ OK ] UniGraphTest.TestUnitGraph_CopyTo (1 ms) [ RUN ] UniGraphTest.TestUnitGraph_InOutDegrees [ OK ] UniGraphTest.TestUnitGraph_InOutDegrees (4 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 (6 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetCOO [ OK ] UniGraphTest.TestUnitGraph_GetCOO (1 ms) [ RUN ] UniGraphTest.TestUnitGraph_Reserve [ OK ] UniGraphTest.TestUnitGraph_Reserve (215 ms) [----------] 7 tests from UniGraphTest (233 ms total) [----------] Global test environment tear-down [==========] 89 tests from 21 test suites ran. (25624 ms total) [ PASSED ] 89 tests. Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-0] [ OK ] SocketCommunicatorTest.SendAndRecv (7002 ms) [ RUN ] SocketCommunicatorTest.SendAndRecvTimeout PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-4] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-0] [WS-CLEANUP] done [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-4] [ OK ] SocketCommunicatorTest.SendAndRecvTimeout (5000 ms) [ RUN ] SocketCommunicatorTest.TCPSocketBind [ OK ] SocketCommunicatorTest.TCPSocketBind (0 ms) [----------] 3 tests from SocketCommunicatorTest (12003 ms total) [----------] 3 tests from SplitStringTest [ RUN ] SplitStringTest.SplitStringUsingCompoundDelim [ OK ] SplitStringTest.SplitStringUsingCompoundDelim (0 ms) [ RUN ] SplitStringTest.testSplitStringUsingSingleDelim [ OK ] SplitStringTest.testSplitStringUsingSingleDelim (0 ms) [ RUN ] SplitStringTest.testSplitingNoDelimString [ OK ] SplitStringTest.testSplitingNoDelimString (0 ms) [----------] 3 tests from SplitStringTest (0 ms total) [----------] 1 test from StringPrintf [ RUN ] StringPrintf.normal [ OK ] StringPrintf.normal (0 ms) [----------] 1 test from StringPrintf (0 ms total) [----------] 13 tests from ArrayTest [ RUN ] ArrayTest.TestCreate [ OK ] ArrayTest.TestCreate (0 ms) [ RUN ] ArrayTest.TestRange [ OK ] ArrayTest.TestRange (711 ms) [ RUN ] ArrayTest.TestFull [ OK ] ArrayTest.TestFull (0 ms) [ RUN ] ArrayTest.TestClone [ OK ] ArrayTest.TestClone (0 ms) [ RUN ] ArrayTest.TestAsNumBits [ OK ] ArrayTest.TestAsNumBits (0 ms) [ RUN ] ArrayTest.Arith [ OK ] ArrayTest.Arith (2 ms) [ RUN ] ArrayTest.HStack [ OK ] ArrayTest.HStack (0 ms) [ RUN ] ArrayTest.TestIndexSelect [ OK ] ArrayTest.TestIndexSelect (1 ms) [ RUN ] ArrayTest.TestRelabel_ [ OK ] ArrayTest.TestRelabel_ (0 ms) [ RUN ] ArrayTest.CumSum [ OK ] ArrayTest.CumSum (0 ms) [ RUN ] ArrayTest.Scatter_ [ OK ] ArrayTest.Scatter_ (1 ms) [ RUN ] ArrayTest.NonZero [ OK ] ArrayTest.NonZero (0 ms) [ RUN ] ArrayTest.Sort [ OK ] ArrayTest.Sort (1 ms) [----------] 13 tests from ArrayTest (716 ms total) [----------] 2 tests from MatrixTest [ RUN ] MatrixTest.TestToSimpleCsr [ OK ] MatrixTest.TestToSimpleCsr (0 ms) [ RUN ] MatrixTest.TestToSimpleCoo [ OK ] MatrixTest.TestToSimpleCoo (0 ms) [----------] 2 tests from MatrixTest (0 ms total) [----------] 2 tests from DisjointUnionTest [ RUN ] DisjointUnionTest.TestDisjointUnionPartitionCoo [ OK ] DisjointUnionTest.TestDisjointUnionPartitionCoo (1 ms) [ RUN ] DisjointUnionTest.TestDisjointUnionPartitionCsr [ OK ] DisjointUnionTest.TestDisjointUnionPartitionCsr (0 ms) [----------] 2 tests from DisjointUnionTest (1 ms total) [----------] 2 tests from SliceContiguousChunk [ RUN ] SliceContiguousChunk.TestSliceContiguousChunkCoo [ OK ] SliceContiguousChunk.TestSliceContiguousChunkCoo (0 ms) [ RUN ] SliceContiguousChunk.TestSliceContiguousChunkCsr [ OK ] SliceContiguousChunk.TestSliceContiguousChunkCsr (0 ms) [----------] 2 tests from SliceContiguousChunk (0 ms total) [----------] 2 tests from MatrixUnionTest [ RUN ] MatrixUnionTest.TestMatrixUnionCsr [ OK ] MatrixUnionTest.TestMatrixUnionCsr (0 ms) [ RUN ] MatrixUnionTest.TestMatrixUnionCoo [ OK ] MatrixUnionTest.TestMatrixUnionCoo (0 ms) [----------] 2 tests from MatrixUnionTest (0 ms total) [----------] 1 test from LineGraphTest [ RUN ] LineGraphTest.LineGraphCOO [ OK ] LineGraphTest.LineGraphCOO (0 ms) [----------] 1 test from LineGraphTest (0 ms total) [----------] 3 tests from CsrmmTest [ RUN ] CsrmmTest.TestCsrmm [ OK ] CsrmmTest.TestCsrmm (352 ms) [ RUN ] CsrmmTest.TestCsrsum [ OK ] CsrmmTest.TestCsrsum (5 ms) [ RUN ] CsrmmTest.TestCsrmask [ OK ] CsrmmTest.TestCsrmask (0 ms) [----------] 3 tests from CsrmmTest (357 ms total) [----------] 2 tests from PartitionTest [ RUN ] PartitionTest.TestRemainderPartition [ OK ] PartitionTest.TestRemainderPartition (19 ms) [ RUN ] PartitionTest.TestRangePartition [ OK ] PartitionTest.TestRangePartition (23 ms) [----------] 2 tests from PartitionTest (42 ms total) [----------] 11 tests from RowwiseTest [ RUN ] RowwiseTest.TestCSRSampling [ OK ] RowwiseTest.TestCSRSampling (11 ms) [ RUN ] RowwiseTest.TestCSRSamplingUniform [ OK ] RowwiseTest.TestCSRSamplingUniform (2 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSampling [ OK ] RowwiseTest.TestCSRPerEtypeSampling (10 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCSRPerEtypeSamplingUniform (6 ms) [ RUN ] RowwiseTest.TestCOOSampling [ OK ] RowwiseTest.TestCOOSampling (284 ms) [ RUN ] RowwiseTest.TestCOOSamplingUniform [ OK ] RowwiseTest.TestCOOSamplingUniform (48 ms) [ RUN ] RowwiseTest.TestCOOerEtypeSampling PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype0] [ OK ] RowwiseTest.TestCOOerEtypeSampling (3936 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSamplingUniform PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype1] [ OK ] RowwiseTest.TestCOOPerEtypeSamplingUniform (2662 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 (6972 ms total) [----------] 3 tests from SampleUtilsTest [ RUN ] SampleUtilsTest.TestWithReplacement [ OK ] SampleUtilsTest.TestWithReplacement (3185 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementOrder [ OK ] SampleUtilsTest.TestWithoutReplacementOrder (0 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementUnique PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cuda_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cuda_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cpu_indices-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cpu_indices-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-pure_gpu-idtype0] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-pure_gpu-idtype1] SKIPPED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype0] [ OK ] SampleUtilsTest.TestWithoutReplacementUnique (4881 ms) [----------] 3 tests from SampleUtilsTest (8066 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 (1 ms) [ RUN ] Serialize.HeteroGraph [ OK ] Serialize.HeteroGraph (0 ms) [----------] 4 tests from Serialize (1 ms total) [----------] 3 tests from SmartPtrTest/0, where TypeParam = std::shared_ptr [ RUN ] SmartPtrTest/0.Obj_Test [ OK ] SmartPtrTest/0.Obj_Test (0 ms) [ RUN ] SmartPtrTest/0.Vector_Test1 [ OK ] SmartPtrTest/0.Vector_Test1 (0 ms) [ RUN ] SmartPtrTest/0.Vector_Test2 [ OK ] SmartPtrTest/0.Vector_Test2 (0 ms) [----------] 3 tests from SmartPtrTest/0 (0 ms total) [----------] 3 tests from SmartPtrTest/1, where TypeParam = std::unique_ptr > [ RUN ] SmartPtrTest/1.Obj_Test [ OK ] SmartPtrTest/1.Obj_Test (0 ms) [ RUN ] SmartPtrTest/1.Vector_Test1 [ OK ] SmartPtrTest/1.Vector_Test1 (0 ms) [ RUN ] SmartPtrTest/1.Vector_Test2 [ OK ] SmartPtrTest/1.Vector_Test2 (0 ms) [----------] 3 tests from SmartPtrTest/1 (0 ms total) [----------] 19 tests from SpmatTest [ RUN ] SpmatTest.COOToCSR [ OK ] SpmatTest.COOToCSR (4 ms) [ RUN ] SpmatTest.TestCOOHasDuplicate [ OK ] SpmatTest.TestCOOHasDuplicate (0 ms) [ RUN ] SpmatTest.COOSort [ OK ] SpmatTest.COOSort (1 ms) [ RUN ] SpmatTest.TestCOOReorder [ OK ] SpmatTest.TestCOOReorder (1 ms) [ RUN ] SpmatTest.COOGetData [ OK ] SpmatTest.COOGetData (10 ms) [ RUN ] SpmatTest.COOGetDataAndIndices [ OK ] SpmatTest.COOGetDataAndIndices (0 ms) [ RUN ] SpmatTest.TestCSRIsNonZero [ OK ] SpmatTest.TestCSRIsNonZero (4 ms) [ RUN ] SpmatTest.TestCSRGetRowNNZ [ OK ] SpmatTest.TestCSRGetRowNNZ (0 ms) [ RUN ] SpmatTest.TestCSRGetRowColumnIndices [ OK ] SpmatTest.TestCSRGetRowColumnIndices (0 ms) [ RUN ] SpmatTest.TestCSRGetRowData [ OK ] SpmatTest.TestCSRGetRowData (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 (2 ms) [ RUN ] SpmatTest.TestCSRSliceRows [ OK ] SpmatTest.TestCSRSliceRows (65 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 (100 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 (18 ms) [ RUN ] UniGraphTest.TestUnitGraph_Create [ OK ] UniGraphTest.TestUnitGraph_Create (1 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetInCSR [ OK ] UniGraphTest.TestUnitGraph_GetInCSR (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetOutCSR [ OK ] UniGraphTest.TestUnitGraph_GetOutCSR (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetCOO [ OK ] UniGraphTest.TestUnitGraph_GetCOO (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_Reserve [ OK ] UniGraphTest.TestUnitGraph_Reserve (1 ms) [----------] 7 tests from UniGraphTest (20 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. (28304 ms total) [ PASSED ] 101 tests. ~/jenkins/workspace/dgl_PR-4499 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 c056752d39ba795b411b19595bf3a437da23902d68710b0481350b50138c2fc4 $ docker rm -f c056752d39ba795b411b19595bf3a437da23902d68710b0481350b50138c2fc4 PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype1] [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4499 [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa 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-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4499/head:refs/remotes/origin/PR-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 + docker pull dgllib/dgl-ci-gpu:cu101_v220816 cu101_v220816: Pulling from dgllib/dgl-ci-gpu Digest: sha256:ca40fc52876a2563a4e904d0c271d658c1acc8e6a4f8611b578bb49f8c7fd925 Status: Image is up to date for dgllib/dgl-ci-gpu:cu101_v220816 docker.io/dgllib/dgl-ci-gpu:cu101_v220816 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-gpu:cu101_v220816 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dglci-manual-gpu-worker does not seem to be running inside a container $ docker run -t -d -u 0:0 --runtime nvidia -w /root/jenkins/workspace/dgl_PR-4499 -v /root/jenkins/workspace/dgl_PR-4499:/root/jenkins/workspace/dgl_PR-4499:rw,z -v /root/jenkins/workspace/dgl_PR-4499@tmp:/root/jenkins/workspace/dgl_PR-4499@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-gpu:cu101_v220816 cat 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] $ docker top 0b4355d42d174745d3943e4d2b89f391b04e6ee7cb45c11c9a4fa17000955550 -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 786e4b1b-86b9-4b2a-8500-f731d83996aa Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@5182fbad; decorates RemoteLauncher[hudson.remoting.Channel@72cc3942: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 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4499/.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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4499 # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/libxsmm'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm'... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] Cloning into '/root/jenkins/workspace/dgl_PR-4499/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-4499/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' 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-4499/third_party/tensorpipe/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/libuv'... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/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 [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-gpu-linux [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { [Pipeline] sh + bash tests/scripts/task_unit_test.sh tensorflow gpu Requirement already satisfied: pytest in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (7.1.2) Collecting psutil Downloading psutil-5.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (281 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 281.4/281.4 kB 10.3 MB/s eta 0:00:00 Collecting pyyaml Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 596.3/596.3 kB 37.4 MB/s eta 0:00:00 Collecting pydantic Downloading pydantic-1.10.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.8 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 11.8/11.8 MB 115.7 MB/s eta 0:00:00 Collecting pandas Using cached pandas-1.1.5-cp37-cp37m-manylinux1_x86_64.whl (9.5 MB) Collecting rdflib Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.3/500.3 kB 64.5 MB/s eta 0:00:00 Collecting ogb Downloading ogb-1.3.4-py3-none-any.whl (78 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.6/78.6 kB 16.8 MB/s eta 0:00:00 Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (1.11.0) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (22.1.0) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (2.0.1) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (4.12.0) Requirement already satisfied: iniconfig in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (1.1.1) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (1.0.0) Requirement already satisfied: packaging in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (21.3) Requirement already satisfied: typing-extensions>=4.1.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pydantic) (4.3.0) Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pandas) (1.18.5) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pandas) (2.8.2) Collecting pytz>=2017.2 Using cached pytz-2022.2.1-py2.py3-none-any.whl (500 kB) Requirement already satisfied: setuptools in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from rdflib) (61.2.0) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.7/41.7 kB 9.7 MB/s eta 0:00:00 Requirement already satisfied: pyparsing in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from rdflib) (3.0.9) Collecting outdated>=0.2.0 Using cached outdated-0.2.1-py3-none-any.whl (7.5 kB) Collecting scikit-learn>=0.20.0 Using cached scikit_learn-1.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (24.8 MB) Requirement already satisfied: six>=1.12.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from ogb) (1.16.0) Collecting torch>=1.6.0 Downloading torch-1.12.1-cp37-cp37m-manylinux1_x86_64.whl (776.3 MB) PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype0] SKIPPED [ 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%] 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It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/tensorflow-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4499 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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[ 6%] tests/compute/test_graph.py::test_query PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] 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%] 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tests/compute/test_heterograph.py::test_level2[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_level2[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_more_nnz[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_more_nnz[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_empty_heterograph[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_types_in_function[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_stack_reduce[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_isolated_ntype[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_ismultigraph[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_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] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame_device[idtype0] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_frame_device[idtype1] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_create_block[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_create_block[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype1] PASSED [ 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 [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] PASSED [ 11%] tests/compute/test_index.py::test_dlpack SKIPPED (TF doesn't support...) [ 11%] tests/compute/test_kernel.py::test_copy_src_reduce PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-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%] 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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 [ 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%] 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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%] 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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%] 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 [ 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 [ 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%] 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tests/compute/test_removal.py::test_multigraph_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[idtype1] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[idtype0] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[idtype1] PASSED [ 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 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%] 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%]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] 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler0-reverse_types-True] 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 [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-None-False] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-True] 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 [ 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 [ 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 [ 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g0] PASSED [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[cosine-bruteforce-blas] 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 [ 5%] tests/pytorch/test_geometry.py::test_knn_cpu[cosine-bruteforce] 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 [ 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g1] PASSED [ 5%] tests/pytorch/test_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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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%]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] 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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%]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] 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 [ 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 [ 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 [ 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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 [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g0] PASSED [ 23%] tests/pytorch/test_nn.py::test_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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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/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 [ 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 [ 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 [ 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 [ 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 [ 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/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/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/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/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/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/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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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%]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] 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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%] 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tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp2-g0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp0-g1] PASSED [ 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 [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-e-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-u-shp0-g0] 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 [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g1] PASSED [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp2-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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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%]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] 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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%]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] 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 [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp0-g1] PASSED [ 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 [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp1-g1] PASSED [ 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 [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp2-g1] PASSED [ 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 [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp3-g1] PASSED [ 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 [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g1] 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 [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp0-g1] PASSED [ 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 [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp1-g1] PASSED [ 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 [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp2-g1] PASSED [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-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 [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp3-g0] 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 [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp3-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp4-g0] PASSED [ 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 [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp4-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp1-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp2-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp3-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp3-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp4-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp0-g0] PASSED [ 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 [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp1-g0] PASSED [ 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%]PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp2-g0] 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 [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp2-g1] 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 [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp3-g1] PASSED [ 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 [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp4-g1] PASSED [ 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 [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp0-g1] PASSED [ 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 [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp1-g1] 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 [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp2-g1] PASSED [ 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 [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp3-g1] PASSED [ 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 [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp4-g0] PASSED [ 53%]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] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp4-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp0-g0] PASSED [ 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 [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp0-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp1-g0] PASSED [ 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 [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp1-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp2-g0] PASSED [ 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 [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp2-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp3-g0] PASSED [ 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 [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp4-g0] PASSED [ 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 [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp4-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp0-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp0-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp1-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp1-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp2-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp3-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp4-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp0-g0] PASSED [ 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 [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp0-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-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 [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp1-g1] PASSED [ 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp2-g1] PASSED [ 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp3-g1] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-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 [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp4-g1] PASSED [ 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp0-g1] PASSED [ 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g1] PASSED [ 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp2-g0] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-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 [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp2-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp3-g0] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-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 [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp3-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp4-g0] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-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 [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp0-g0] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-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 [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp0-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g0] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-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 [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp2-g0] PASSED [ 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp2-g1] 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 [ 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 [ 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 [ 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 [ 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 [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp0-g1] PASSED [ 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g0] 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g0] PASSED [ 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp3-g0] PASSED [ 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp4-g0] PASSED [ 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp0-g0] PASSED [ 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp1-g0] PASSED [ 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp1-g1] 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp2-g1] PASSED [ 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g1] PASSED [ 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp4-g1] PASSED [ 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp0-g1] PASSED [ 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp1-g0] 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g0] PASSED [ 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 [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g0] PASSED [ 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 [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp4-g0] PASSED [ 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 [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp0-g0] PASSED [ 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 [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp0-g1] 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 [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g1] PASSED [ 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 [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp2-g1] PASSED [ 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 [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g1] PASSED [ 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 [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g1] PASSED [ 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 [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g0] PASSED [ 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 [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp4-g1] PASSED [ 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 [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g0] 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 [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g1] PASSED [ 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 [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g1] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g0] PASSED [ 66%] tests/pytorch/test_nn.py::test_pna_conv[False-16-1-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp4-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp0-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp2-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp0-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp3-g0] PASSED [ 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 [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp3-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp4-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp3-g0] PASSED [ 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 [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp3-g1] 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 [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp0-g1] PASSED [ 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 [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp1-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers1-aggregators2-16-32] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp2-g0] PASSED [ 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 [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g0] PASSED [ 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 [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g1] 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 [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp2-g0] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp4-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g0] 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 [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g0] PASSED [ 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 [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g0] PASSED [ 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 [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g1] 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 [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g1] PASSED [ 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 [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g0] PASSED [ 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 [ 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 [ 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 [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g1] 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 [ 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 [ 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 [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g0] 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 [ 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 [ 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 [ 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 [ 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 [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g1] 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 [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g1] PASSED [ 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 [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g0] PASSED [ 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 [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-16] 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/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-16-32] 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/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-16] 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/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-32] 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/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g0] 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/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/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/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/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp4-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-16] 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 [ 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 [ 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 [ 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 [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g1] PASSED [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators1-32-32] 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 [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-16-16] 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 [ 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 [ 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 [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers0-aggregators2-32-32] 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 [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-16] 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 [ 69%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-16-32] 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 [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-2.5-scalers1-aggregators0-32-16] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g0] PASSED [ 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 [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-u-shp2-g1] 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 70%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.0-7.4-scalers0-aggregators1-16-16] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp1-g1] 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 [ 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 [ 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 [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g0] 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 [ 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 [ 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 [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp4-g1] 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 [ 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 [ 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 [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g0] 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 [ 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 [ 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 [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp2-g1] 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 [ 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 [ 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 [ 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 [ 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 [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp0-g0] 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 [ 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 [ 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 [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp1-g1] 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 [ 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 [ 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 [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp3-g0] 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 [ 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 [ 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 [ 73%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-v-shp4-g1] 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 [ 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 [ 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 [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp1-g0] 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 [ 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 [ 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 [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-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 [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators1-32-16] 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 [ 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 [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp4-g0] PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-32] 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 [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g1] PASSED [ 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 [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-32] 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 [ 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 [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g0] 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 [ 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 [ 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 [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp1-g1] 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 [ 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 [ 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 [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp3-g0] 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 [ 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 [ 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 [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g1] 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 [ 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 [ 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 [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-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 [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp2-g0] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp2-g1] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp3-g1] PASSED [ 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 [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-u-shp4-g0] 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 [ 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 [ 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 [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp0-g1] 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 [ 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 [ 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 [ 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 [ 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 [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g0] 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 [ 77%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-e-v-shp3-g1] 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 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 [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp1-g1] 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 [ 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 [ 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 [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp3-g0] 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 [ 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 [ 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 [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-v-shp4-g1] 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 [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp0-g0] 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 [ 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 [ 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 [ 78%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp1-g1] 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 [ 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 [ 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/compute/test_sparse.py::test_sddmm[idtype1-div-u-e-shp3-g0] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-2.5-scalers1-aggregators2-32-32] 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/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-16] 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 [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp1-g0] PASSED [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-16] 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 [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp2-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 [ 78%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp3-g0] 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 [ 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 [ 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 [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-u-shp4-g1] 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 [ 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 [ 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 [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g0] 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/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g0] PASSED [ 79%] tests/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 [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp2-g1] 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 [ 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 [ 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 [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g0] 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 [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp4-g1] 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 [ 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 [ 79%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-1-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp1-g0] 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 [ 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 [ 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 [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp2-g1] 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/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/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/compute/test_sparse.py::test_sddmm[idtype1-div-e-u-shp4-g0] 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/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/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp0-g1] 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/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-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/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/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/compute/test_sparse.py::test_sddmm[idtype1-div-e-v-shp2-g1] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-32] 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/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-16] 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 [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-32] 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 [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-16] 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 [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-16-32] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-u-v-shp4-g1] PASSED [ 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 [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-16] 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 [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators0-32-32] 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 [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-16-16] 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 [ 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 [ 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 [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators1-32-32] 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 [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-16-16] 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 [ 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 [ 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 [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-32] 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 [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators0-16-16] 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 [ 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 [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g0] 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 [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-u-shp3-g1] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-16-32] PASSED [ 80%]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] 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 [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp0-g0] 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 [ 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 [ 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 [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp1-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp2-g1] PASSED [ 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 [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g0] 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 [ 84%] tests/compute/test_sparse.py::test_sddmm[idtype1-dot-e-v-shp3-g1] 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 [ 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 [ 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 [ 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 [ 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 [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp0-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 [ 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 [ 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 [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g0] 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 [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp2-g1] 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 [ 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 [ 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 [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-v-shp4-g0] 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 [ 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 [ 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 [ 85%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp0-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-16] 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 [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] 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 [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] 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 [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-32] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g1] PASSED [ 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 [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp2-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp3-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-e-shp4-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp0-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g0] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp1-g1] PASSED [ 88%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-u-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g0] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g1] PASSED [ 89%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g0] PASSED [ 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] Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4499 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa Cloning the remote Git repository Cloning with configured refspecs honoured and without tags PASSED [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-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 [ 90%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-16-32] 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] Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-16] 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] Cleaning workspace Fetching without tags PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) 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] > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4499/head:refs/remotes/origin/PR-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-32] 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] [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] [Pipeline] sh PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g1] + docker pull dgllib/dgl-ci-cpu:v220816 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 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 [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-16] PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] v220816: Pulling from dgllib/dgl-ci-cpu Digest: sha256:64b385c33b44dc57cb96ff264a84d8dfb8ced0caa9b30fbc4cec6d5ee511b099 Status: Image is up to date for dgllib/dgl-ci-cpu:v220816 docker.io/dgllib/dgl-ci-cpu:v220816 [Pipeline] } [Pipeline] // withEnv 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] [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g0] + docker inspect -f . dgllib/dgl-ci-cpu:v220816 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer PASSED [ 91%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g1] dgl-manual-large-cpu does not seem to be running inside a container PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-32] $ docker run -t -d -u 0:0 -w /root/jenkins/workspace/dgl_PR-4499 -v /root/jenkins/workspace/dgl_PR-4499:/root/jenkins/workspace/dgl_PR-4499:rw,z -v /root/jenkins/workspace/dgl_PR-4499@tmp:/root/jenkins/workspace/dgl_PR-4499@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:v220816 cat PASSED [ 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] $ docker top 95b73a640b5419ac34eefb5ba664d511afcfb0d1703c04fd1552a99277a53b8a -eo pid,comm PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] [Pipeline] { [Pipeline] sh 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 [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-16] 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] + 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 786e4b1b-86b9-4b2a-8500-f731d83996aa Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@35d33463; decorates RemoteLauncher[hudson.remoting.Channel@2d9d6160: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 [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-dst-g0] Fetching without tags PASSED [ 92%] tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-src-g0] Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba 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] > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4499/.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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[sum] Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[max] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[min] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_reduce[mean] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-32] [Pipeline] sh 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] > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4499 # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[idtype1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] 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] + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/METIS'... PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_edge_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_message_passing PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device1] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/cpu:0-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device0] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device1] PASSED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device2] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_subframes[/gpu:0-parent_idx_device3] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-/cpu:0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype0-/gpu:0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-/cpu:0] SKIPPED [ 96%] tests/compute/test_subgraph.py::test_uva_subgraph[idtype1-/gpu:0] SKIPPED [ 96%] tests/compute/test_transform.py::test_line_graph1 PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_line_graph2[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_no_backtracking PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype0] PASSED [ 96%] tests/compute/test_transform.py::test_reverse_shared_frames[idtype1] PASSED [ 96%] tests/compute/test_transform.py::test_to_bidirected SKIPPED (GPU not...) [ 96%] tests/compute/test_transform.py::test_add_reverse_edges PASSED [ 96%] tests/compute/test_transform.py::test_simple_graph SKIPPED (GPU not ...) [ 96%] tests/compute/test_transform.py::test_khop_graph SKIPPED (GPU not im...) [ 96%] tests/compute/test_transform.py::test_khop_adj SKIPPED (GPU not impl...) [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max SKIPPED (...) [ 97%] tests/compute/test_transform.py::test_partition_with_halo SKIPPED (G...) [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype0] SKIPPED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype1] SKIPPED [ 97%] tests/compute/test_transform.py::test_reorder_nodes SKIPPED (It does...) [ 97%] tests/compute/test_transform.py::test_compact[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_compact[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[idtype0] SKIPPED (GP...) [ 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] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/dlpack'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/dmlc-core'... PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[idtype0] SKIPPED (...) [ 98%] tests/compute/test_transform.py::test_norm_by_dst[idtype1] SKIPPED (...) [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype0] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype1] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype0] SKIPPED (O...) [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype1] SKIPPED (O...) [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype0] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype1] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype0] SKIPPED (O...) [ 99%] tests/compute/test_transform.py::test_module_gdc[idtype1] SKIPPED (O...) [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype1] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype1] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_sign[g0] SKIPPED (Only ...) [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype1] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype0] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype1] SKIPPED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype0] PASSED [ 99%]PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-32] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/googletest'... 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-4499/python/dgl/backend/backend.py:1741: DeprecationWarning: invalid escape sequence \P """ ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/iterator_ops.py:546 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/iterator_ops.py:546: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working class IteratorBase(collections.Iterator, trackable.Trackable, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/dataset_ops.py:106 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/dataset_ops.py:106: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working class DatasetV2(collections.Iterable, tracking_base.Trackable, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses import imp ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _nlv = LooseVersion(_np_version) ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p16 = _nlv < LooseVersion("1.16") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p17 = _nlv < LooseVersion("1.17") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p18 = _nlv < LooseVersion("1.18") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p19 = _nlv < LooseVersion("1.19") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p20 = _nlv < LooseVersion("1.20") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(_np_version) >= LooseVersion("1.17.0"): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:23 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:23: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead. 'nearest': pil_image.NEAREST, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:24 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:24: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead. 'bilinear': pil_image.BILINEAR, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:25 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:25: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead. 'bicubic': pil_image.BICUBIC, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:28 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:28: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead. if hasattr(pil_image, 'HAMMING'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:29 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:29: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead. _PIL_INTERPOLATION_METHODS['hamming'] = pil_image.HAMMING ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:30 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:30: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead. if hasattr(pil_image, 'BOX'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:31 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:31: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead. _PIL_INTERPOLATION_METHODS['box'] = pil_image.BOX ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:33 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:33: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead. if hasattr(pil_image, 'LANCZOS'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:34 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:34: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead. _PIL_INTERPOLATION_METHODS['lanczos'] = pil_image.LANCZOS python/dgl/backend/tensorflow/tensor.py:15 python/dgl/backend/tensorflow/tensor.py:15 /root/jenkins/workspace/dgl_PR-4499/python/dgl/backend/tensorflow/tensor.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(tf.__version__) < LooseVersion("2.3.0"): tests/compute/test_basics.py: 2 warnings tests/compute/test_filter.py: 1 warning tests/compute/test_graph.py: 9 warnings tests/compute/test_kernel.py: 3 warnings tests/compute/test_removal.py: 16 warnings tests/compute/test_specialization.py: 12 warnings tests/compute/test_subgraph.py: 2 warnings tests/compute/test_transform.py: 6 warnings tests/compute/test_traversal.py: 2 warnings /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/pytest_compute.xml -- ============================ slowest 100 durations ============================= 32.65s call tests/compute/test_kernel.py::test_all_binary_builtins 3.75s call tests/compute/test_heterograph.py::test_forking_pickler 0.98s call tests/compute/test_sampling.py::test_non_uniform_random_walk[False] 0.86s call tests/compute/test_graph.py::test_query 0.68s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 0.60s call tests/compute/test_heterograph.py::test_query[idtype1] 0.54s call tests/compute/test_heterograph.py::test_query[idtype0] 0.49s call tests/compute/test_sampling.py::test_uniform_random_walk[True] 0.45s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 0.35s call tests/compute/test_basics.py::test_batch_setter_getter[idtype0] 0.33s call tests/compute/test_kernel.py::test_copy_edge_reduce 0.33s call tests/compute/test_kernel.py::test_copy_src_reduce 0.28s call tests/compute/test_traversal.py::test_bfs[idtype1] 0.27s call tests/compute/test_heterograph.py::test_view1[idtype1] 0.26s call tests/compute/test_traversal.py::test_bfs[idtype0] 0.26s call tests/compute/test_sampler.py::test_1neighbor_sampler_all 0.25s call tests/compute/test_sampling.py::test_sample_neighbors_prob 0.25s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 0.24s call tests/compute/test_heterograph.py::test_view1[idtype0] 0.24s call tests/compute/test_basics.py::test_issue_1088[idtype0] 0.24s call tests/compute/test_sampler.py::test_prefetch_neighbor_sampler 0.24s call tests/compute/test_sampler.py::test_1neighbor_sampler 0.23s call tests/compute/test_sampler.py::test_10neighbor_sampler 0.20s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-src-g0] 0.20s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-src-g0] 0.20s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp2-dst-g0] 0.20s call tests/compute/test_sparse.py::test_segment_reduce[max] 0.20s call tests/compute/test_sparse.py::test_segment_reduce[mean] 0.20s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp0-dst-g0] 0.20s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-dst-g0] 0.20s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-dst-g0] 0.20s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g0] 0.20s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g1] 0.19s call tests/compute/test_sparse.py::test_segment_reduce[sum] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp0-g0] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp1-src-g0] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype0-shp0-src-g0] 0.19s call tests/compute/test_sparse.py::test_segment_reduce[min] 0.19s call tests/compute/test_heterograph.py::test_updates[idtype1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp1-g1] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp2-dst-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp4-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp4-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp0-g0] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-dst-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp3-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp1-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp3-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp1-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp1-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g1] 0.19s call tests/compute/test_sparse.py::test_edge_softmax[idtype1-shp1-src-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp1-g0] 0.19s call tests/compute/test_heterograph.py::test_updates[idtype0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp4-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp2-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp2-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-e-shp0-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-u-e-shp2-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-v-shp2-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp0-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp3-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp4-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp4-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-v-shp4-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp0-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp3-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp2-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp3-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp4-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp2-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-e-u-shp0-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp3-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-u-shp1-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-u-shp4-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-u-v-shp1-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp2-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g0] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g1] 0.19s call tests/compute/test_sparse.py::test_sddmm[idtype1-copy_rhs-v-e-shp3-g1] ========= 2225 passed, 210 skipped, 216 warnings in 248.43s (0:04:08) ========== PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-16] ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/tensorflow-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4499 collecting ... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/libxsmm'... 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] 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 [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-32] 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 [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g0-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g1-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g1-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g2-idtype0] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g2-idtype1] PASSED [ 32%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g3-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g3-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g4-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g4-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g5-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g5-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g6-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-both-g6-idtype1] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g0-idtype0] PASSED [ 33%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g0-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g1-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g1-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g2-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g2-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g3-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g3-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g4-idtype0] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g4-idtype1] PASSED [ 34%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g5-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g5-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g6-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-right-g6-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g0-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g0-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g1-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g1-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g2-idtype0] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g2-idtype1] PASSED [ 35%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g3-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g3-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g4-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g4-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g5-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g5-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g6-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-True-False-left-g6-idtype1] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g0-idtype0] PASSED [ 36%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g0-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g1-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g1-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g2-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g2-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g3-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g3-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g4-idtype0] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g4-idtype1] PASSED [ 37%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g5-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g5-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g6-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-none-g6-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g0-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g0-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g1-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g1-idtype1] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g2-idtype0] PASSED [ 38%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g2-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g3-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g3-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g4-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g4-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g5-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g5-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g6-idtype0] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-both-g6-idtype1] PASSED [ 39%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g0-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g0-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g1-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g1-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g2-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g2-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g3-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g3-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g4-idtype0] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g4-idtype1] PASSED [ 40%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g5-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g5-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g6-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-right-g6-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g0-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g0-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g1-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g1-idtype1] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g2-idtype0] PASSED [ 41%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g2-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g3-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g3-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g4-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g4-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g5-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g5-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g6-idtype0] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-True-left-g6-idtype1] PASSED [ 42%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g0-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g0-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g1-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g1-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g2-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g2-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g3-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g3-idtype1] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g4-idtype0] PASSED [ 43%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g4-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g5-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g5-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g6-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-none-g6-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g0-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g0-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g1-idtype0] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g1-idtype1] PASSED [ 44%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g2-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g2-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g3-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g3-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g4-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g4-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g5-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g5-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g6-idtype0] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-both-g6-idtype1] PASSED [ 45%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g0-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g0-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g1-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g1-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g2-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g2-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g3-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g3-idtype1] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g4-idtype0] PASSED [ 46%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g4-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g5-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g5-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g6-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-right-g6-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g0-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g0-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g1-idtype0] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g1-idtype1] PASSED [ 47%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g2-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g2-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g3-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g3-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g4-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g4-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g5-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g5-idtype1] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g6-idtype0] PASSED [ 48%] tests/tensorflow/test_nn.py::test_graph_conv2[2-False-False-left-g6-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g0-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g0-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g1-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-none-g1-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g0-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g0-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g1-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g1-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g0-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g0-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g1-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g1-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g0-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g0-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g1-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g1-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g0-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g0-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g1-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g1-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g0-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g0-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g1-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g1-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g0-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g1-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g1-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g0-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g1-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g1-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g0-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g0-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g1-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g1-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g0-idtype0] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-32] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g0-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g1-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g1-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g0-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g0-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g1-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-both-g1-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g0-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g0-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g1-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-right-g1-idtype1] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-idtype0] PASSED [ 56%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-idtype0] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-idtype1] PASSED [ 57%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g1-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-none-g1-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g0-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g0-idtype1] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g1-idtype0] PASSED [ 58%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-both-g1-idtype1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g0-idtype0] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g0-idtype1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g1-idtype0] PASSED [ 59%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-False-False-right-g1-idtype1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_simple_pool PASSED [ 59%] tests/tensorflow/test_nn.py::test_glob_att_pool PASSED [ 59%] tests/tensorflow/test_nn.py::test_rgcn[1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_rgcn[2] PASSED [ 59%] tests/tensorflow/test_nn.py::test_rgcn[8] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype1] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype1] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype1] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype1] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype0] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype0] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype0] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype0] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype1] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype1] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype1] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype1] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype0] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype0] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype0] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype0] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype0] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype1] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype1] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g0-idtype1] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g1-idtype1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g0-idtype1] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] PASSED [ 67%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g0-idtype0] PASSED [ 67%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g0-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g1-idtype0] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g1-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g2-idtype0] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g2-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g3-idtype0] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g3-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g4-idtype0] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g4-idtype1] PASSED [ 68%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g5-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g5-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g6-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g6-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g7-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g7-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g0-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g0-idtype1] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g1-idtype0] PASSED [ 69%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g1-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g2-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g2-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g3-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g3-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g4-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g4-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g5-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g5-idtype1] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g6-idtype0] PASSED [ 70%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g6-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g7-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-pool-g7-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g0-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g0-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g1-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g1-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g2-idtype0] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g2-idtype1] PASSED [ 71%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g3-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g3-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g4-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g4-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g5-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g5-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g6-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g6-idtype1] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g7-idtype0] PASSED [ 72%] tests/tensorflow/test_nn.py::test_sage_conv[1-gcn-g7-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g0-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g0-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g1-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g1-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g2-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g2-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g3-idtype0] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g3-idtype1] PASSED [ 73%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g4-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g4-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g5-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g5-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g6-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g6-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g7-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-mean-g7-idtype1] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g0-idtype0] PASSED [ 74%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g0-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g1-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g1-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g2-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g2-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g3-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g3-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g4-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g4-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g5-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g5-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g6-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g6-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g7-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g7-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g0-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g0-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g1-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g1-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g2-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g2-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g3-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g3-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g4-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g4-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g5-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g5-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g6-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g6-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g7-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g7-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g0-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g1-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype0] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-mean-g2-idtype1] PASSED [ 78%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g0-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g1-idtype1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-pool-g2-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g0-idtype1] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype0] PASSED [ 79%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g1-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[1-gcn-g2-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g0-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g1-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-mean-g2-idtype1] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype0] PASSED [ 80%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g0-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g1-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-pool-g2-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g0-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype0] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g1-idtype1] PASSED [ 81%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi[2-gcn-g2-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-mean-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-mean-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-pool-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-pool-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-gcn-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-gcn-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-mean-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-mean-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-pool-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-pool-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-gcn-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-gcn-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g0-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g0-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g1-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g1-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g2-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g2-idtype1] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g3-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g3-idtype1] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g4-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g4-idtype1] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g5-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g5-idtype1] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g0-idtype0] PASSED [ 84%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g0-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g1-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g1-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g2-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g2-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g3-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g3-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g4-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g4-idtype1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g5-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g5-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g0-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g0-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g1-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g1-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g2-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g2-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g3-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g3-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g4-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_appnp_conv[g4-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_appnp_conv[g5-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_appnp_conv[g5-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g0-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g0-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g1-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g1-idtype1] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g2-idtype0] PASSED [ 87%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g2-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g3-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g3-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g4-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g4-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g5-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g5-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g6-idtype0] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g6-idtype1] PASSED [ 88%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g7-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[mean-g7-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g0-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g0-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g1-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g1-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g2-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g2-idtype1] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g3-idtype0] PASSED [ 89%] tests/tensorflow/test_nn.py::test_gin_conv[max-g3-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g4-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g4-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g5-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g5-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g6-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g6-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g7-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[max-g7-idtype1] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g0-idtype0] PASSED [ 90%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g0-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g1-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g1-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g2-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g2-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g3-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g3-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g4-idtype0] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g4-idtype1] PASSED [ 91%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g5-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g5-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g6-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g6-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g7-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv[sum-g7-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g0-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g0-idtype1] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g1-idtype0] PASSED [ 92%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g1-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g2-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[mean-g2-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g0-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g0-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g1-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g1-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g2-idtype0] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[max-g2-idtype1] PASSED [ 93%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g0-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g0-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g1-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g1-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g2-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_gin_conv_bi[sum-g2-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g0-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g0-idtype1] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g1-idtype0] PASSED [ 94%] tests/tensorflow/test_nn.py::test_edge_conv[1-g1-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g2-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g2-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g3-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g3-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g4-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g4-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g5-idtype0] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g5-idtype1] PASSED [ 95%] tests/tensorflow/test_nn.py::test_edge_conv[1-g6-idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/nccl'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/phmap'... 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 [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype0] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_dense_cheb_conv[1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_dense_cheb_conv[2] PASSED [100%] =============================== warnings summary =============================== ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/iterator_ops.py:546 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/iterator_ops.py:546: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working class IteratorBase(collections.Iterator, trackable.Trackable, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/dataset_ops.py:106 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/dataset_ops.py:106: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working class DatasetV2(collections.Iterable, tracking_base.Trackable, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses import imp ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _nlv = LooseVersion(_np_version) ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p16 = _nlv < LooseVersion("1.16") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p17 = _nlv < LooseVersion("1.17") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p18 = _nlv < LooseVersion("1.18") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p19 = _nlv < LooseVersion("1.19") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p20 = _nlv < LooseVersion("1.20") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(_np_version) >= LooseVersion("1.17.0"): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:23 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:23: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead. 'nearest': pil_image.NEAREST, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:24 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:24: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead. 'bilinear': pil_image.BILINEAR, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:25 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:25: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead. 'bicubic': pil_image.BICUBIC, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:28 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:28: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead. if hasattr(pil_image, 'HAMMING'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:29 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:29: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead. _PIL_INTERPOLATION_METHODS['hamming'] = pil_image.HAMMING ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:30 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:30: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead. if hasattr(pil_image, 'BOX'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:31 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:31: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead. _PIL_INTERPOLATION_METHODS['box'] = pil_image.BOX ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:33 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:33: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead. if hasattr(pil_image, 'LANCZOS'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:34 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:34: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead. _PIL_INTERPOLATION_METHODS['lanczos'] = pil_image.LANCZOS python/dgl/backend/tensorflow/tensor.py:15 python/dgl/backend/tensorflow/tensor.py:15 /root/jenkins/workspace/dgl_PR-4499/python/dgl/backend/tensorflow/tensor.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(tf.__version__) < LooseVersion("2.3.0"): tests/tensorflow/test_nn.py::test_graph_conv[1] tests/tensorflow/test_nn.py::test_graph_conv[2] tests/tensorflow/test_nn.py::test_simple_pool tests/tensorflow/test_nn.py::test_glob_att_pool tests/tensorflow/test_nn.py::test_rgcn[1] tests/tensorflow/test_nn.py::test_rgcn[2] tests/tensorflow/test_nn.py::test_rgcn[8] tests/tensorflow/test_nn.py::test_dense_cheb_conv[1] tests/tensorflow/test_nn.py::test_dense_cheb_conv[2] /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/pytest_backend.xml -- ============================ slowest 100 durations ============================= 0.34s 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] 0.13s call tests/tensorflow/test_nn.py::test_rgcn[2] 0.13s call tests/tensorflow/test_nn.py::test_rgcn[8] 0.07s call tests/tensorflow/test_nn.py::test_rgcn[1] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype0] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype1] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype0] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype1] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype0] 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[myagg-idtype1] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype1] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype1] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype0] 0.06s call tests/tensorflow/test_nn.py::test_hetero_conv[min-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[1-gcn-idtype0] 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[2-pool-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-gcn-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-pool-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-gcn-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-pool-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-gcn-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-mean-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-pool-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_simple_pool 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-g0-idtype0] 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-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype1] 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[1-2-g6-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-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[1-2-g2-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype0] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-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[1-1-g4-idtype0] 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-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[1-2-g4-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-g6-idtype1] 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[1-1-g1-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype1] 0.03s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype1] 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[1-2-g3-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[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[1-2-g4-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype1] 0.02s call tests/tensorflow/test_nn.py::test_glob_att_pool 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g0-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] 0.02s call tests/tensorflow/test_nn.py::test_sgc_conv[1-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-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_sgc_conv[1-g0-idtype0] ====================== 920 passed, 35 warnings in 13.71s ======================= PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-16] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe'... [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... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/thrust'... [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 0b4355d42d174745d3943e4d2b89f391b04e6ee7cb45c11c9a4fa17000955550 PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-32] $ docker rm -f 0b4355d42d174745d3943e4d2b89f391b04e6ee7cb45c11c9a4fa17000955550 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4499 [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa Cloning the remote Git repository Cloning with configured refspecs honoured and without tags PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-16] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm'... Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-32] > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4499/head:refs/remotes/origin/PR-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker pull dgllib/dgl-ci-gpu:cu101_v220816 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 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] cu101_v220816: Pulling from dgllib/dgl-ci-gpu Digest: sha256:ca40fc52876a2563a4e904d0c271d658c1acc8e6a4f8611b578bb49f8c7fd925 Status: Image is up to date for dgllib/dgl-ci-gpu:cu101_v220816 docker.io/dgllib/dgl-ci-gpu:cu101_v220816 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-gpu:cu101_v220816 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dglci-manual-gpu-worker does not seem to be running inside a container $ docker run -t -d -u 0:0 --runtime nvidia --shm-size=8gb -w /root/jenkins/workspace/dgl_PR-4499 -v /root/jenkins/workspace/dgl_PR-4499:/root/jenkins/workspace/dgl_PR-4499:rw,z -v /root/jenkins/workspace/dgl_PR-4499@tmp:/root/jenkins/workspace/dgl_PR-4499@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-gpu:cu101_v220816 cat $ docker top b123b8326690c2483cef5d094bc3e14b01cc092a9ec91ba7e827e51a34060bb4 -eo pid,comm [Pipeline] { [Pipeline] stage [Pipeline] { (Torch GPU Unit test) [Pipeline] sh + nvidia-smi Sun Sep 4 03:37:51 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 PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/xbyak'... + 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 786e4b1b-86b9-4b2a-8500-f731d83996aa Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@3908066e; decorates RemoteLauncher[hudson.remoting.Channel@72cc3942: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 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba 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-4499/third_party/METIS/GKlib'... Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-32] Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4499/.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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4499 # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # 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/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' [Pipeline] sh PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators0-16-16] Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/METIS'... 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] 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-4499/third_party/tensorpipe/third_party/googletest'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/dlpack'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/dmlc-core'... PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators2-32-32] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/googletest'... PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-16] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/pybind11'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/libxsmm'... PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-16-32] 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 [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-16] 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-4499/third_party/tensorpipe/third_party/pybind11/tools/clang'... PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers1-aggregators0-32-32] Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/thrust/dependencies/cub'... 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] 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-4499/third_party/tvm/3rdparty/dlpack'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/dmlc-core'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/rang'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/vta-hw'... PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators1-16-32] Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers0-aggregators1-32-16] 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] sh + bash tests/scripts/task_cpp_unit_test.sh /root/jenkins/workspace/dgl_PR-4499 ~/jenkins/workspace/dgl_PR-4499/build ~/jenkins/workspace/dgl_PR-4499 total 15M -rwxr-xr-x 1 root root 12M Sep 4 03:16 libdgl.so -rwxr-xr-x 1 root root 2.4M Sep 4 03:17 runUnitTests drwxr-xr-x 3 root root 4.0K Sep 4 03:38 tensoradapter Running main() from /root/jenkins/workspace/dgl_PR-4499/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 [03:38:05] /root/jenkins/workspace/dgl_PR-4499/src/rpc/network/msg_queue.cc:27: Message is larger than the queue. [ OK ] MessageQueueTest.AddRemove (0 ms) [ RUN ] MessageQueueTest.EmptyAndNoMoreAdd [ OK ] MessageQueueTest.EmptyAndNoMoreAdd (0 ms) [ RUN ] MessageQueueTest.MultiThread [ OK ] MessageQueueTest.MultiThread (12 ms) [----------] 3 tests from MessageQueueTest (12 ms total) [----------] 3 tests from SocketCommunicatorTest [ RUN ] SocketCommunicatorTest.SendAndRecv 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] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/nccl'... PASSED [ 83%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-7.4-scalers1-aggregators1-16-32] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/phmap'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe'... 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] [ OK ] SocketCommunicatorTest.SendAndRecv (7003 ms) [ RUN ] SocketCommunicatorTest.SendAndRecvTimeout 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] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/thrust'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm'... PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators0-32-32] [ OK ] SocketCommunicatorTest.SendAndRecvTimeout (5001 ms) [ RUN ] SocketCommunicatorTest.TCPSocketBind [ OK ] SocketCommunicatorTest.TCPSocketBind (0 ms) [----------] 3 tests from SocketCommunicatorTest (12005 ms total) [----------] 3 tests from SplitStringTest [ RUN ] SplitStringTest.SplitStringUsingCompoundDelim [ OK ] SplitStringTest.SplitStringUsingCompoundDelim (0 ms) [ RUN ] SplitStringTest.testSplitStringUsingSingleDelim [ OK ] SplitStringTest.testSplitStringUsingSingleDelim (0 ms) [ RUN ] SplitStringTest.testSplitingNoDelimString [ OK ] SplitStringTest.testSplitingNoDelimString (0 ms) [----------] 3 tests from SplitStringTest (0 ms total) [----------] 1 test from StringPrintf [ RUN ] StringPrintf.normal [ OK ] StringPrintf.normal (0 ms) [----------] 1 test from StringPrintf (0 ms total) [----------] 13 tests from ArrayTest [ RUN ] ArrayTest.TestCreate [ OK ] ArrayTest.TestCreate (0 ms) [ RUN ] ArrayTest.TestRange [ OK ] ArrayTest.TestRange (0 ms) [ RUN ] ArrayTest.TestFull [ OK ] ArrayTest.TestFull (0 ms) [ RUN ] ArrayTest.TestClone [ OK ] ArrayTest.TestClone (0 ms) [ RUN ] ArrayTest.TestAsNumBits [ OK ] ArrayTest.TestAsNumBits (0 ms) [ RUN ] ArrayTest.Arith [ OK ] ArrayTest.Arith (0 ms) [ RUN ] ArrayTest.HStack [ OK ] ArrayTest.HStack (0 ms) [ RUN ] ArrayTest.TestIndexSelect [ OK ] ArrayTest.TestIndexSelect (0 ms) [ RUN ] ArrayTest.TestRelabel_ [ OK ] ArrayTest.TestRelabel_ (0 ms) [ RUN ] ArrayTest.CumSum [ OK ] ArrayTest.CumSum (0 ms) [ RUN ] ArrayTest.Scatter_ [ OK ] ArrayTest.Scatter_ (0 ms) [ RUN ] ArrayTest.NonZero [ OK ] ArrayTest.NonZero (0 ms) [ RUN ] ArrayTest.Sort [ OK ] ArrayTest.Sort (0 ms) [----------] 13 tests from ArrayTest (2 ms total) [----------] 2 tests from MatrixTest [ RUN ] MatrixTest.TestToSimpleCsr [ OK ] MatrixTest.TestToSimpleCsr (1 ms) [ RUN ] MatrixTest.TestToSimpleCoo [ OK ] MatrixTest.TestToSimpleCoo (0 ms) [----------] 2 tests from MatrixTest (1 ms total) [----------] 2 tests from DisjointUnionTest [ RUN ] DisjointUnionTest.TestDisjointUnionPartitionCoo [ OK ] DisjointUnionTest.TestDisjointUnionPartitionCoo (1 ms) [ RUN ] DisjointUnionTest.TestDisjointUnionPartitionCsr [ OK ] DisjointUnionTest.TestDisjointUnionPartitionCsr (0 ms) [----------] 2 tests from DisjointUnionTest (1 ms total) [----------] 2 tests from SliceContiguousChunk [ RUN ] SliceContiguousChunk.TestSliceContiguousChunkCoo [ OK ] SliceContiguousChunk.TestSliceContiguousChunkCoo (0 ms) [ RUN ] SliceContiguousChunk.TestSliceContiguousChunkCsr [ OK ] SliceContiguousChunk.TestSliceContiguousChunkCsr (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 (0 ms) [ RUN ] CsrmmTest.TestCsrsum [ OK ] CsrmmTest.TestCsrsum (1 ms) [ RUN ] CsrmmTest.TestCsrmask [ OK ] CsrmmTest.TestCsrmask (0 ms) [----------] 3 tests from CsrmmTest (1 ms total) [----------] 2 tests from PartitionTest [ RUN ] PartitionTest.TestRemainderPartition [ OK ] PartitionTest.TestRemainderPartition (0 ms) [ RUN ] PartitionTest.TestRangePartition [ OK ] PartitionTest.TestRangePartition (0 ms) [----------] 2 tests from PartitionTest (0 ms total) [----------] 11 tests from RowwiseTest [ RUN ] RowwiseTest.TestCSRSampling PASSED [ 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] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/xbyak'... PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-7.4-scalers0-aggregators0-16-32] 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-4499/third_party/METIS/GKlib'... 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] Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' 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 [ 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] 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-4499/third_party/tensorpipe/third_party/googletest'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/libuv'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/pybind11'... 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] 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-4499/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-4499/third_party/thrust/dependencies/cub'... 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] 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-4499/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/dmlc-core'... PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-32] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/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' PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-16] 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 [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] [ OK ] RowwiseTest.TestCSRSampling (21324 ms) [ RUN ] RowwiseTest.TestCSRSamplingUniform [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 PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-16] + bash tests/scripts/task_unit_test.sh pytorch gpu Requirement already satisfied: pytest in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (7.1.2) Collecting psutil Downloading psutil-5.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (281 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 281.4/281.4 kB 12.4 MB/s eta 0:00:00 Collecting pyyaml Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 596.3/596.3 kB 41.8 MB/s eta 0:00:00 Collecting pydantic Downloading pydantic-1.10.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.8 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 11.8/11.8 MB 115.8 MB/s eta 0:00:00 Requirement already satisfied: pandas in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (1.1.5) Collecting rdflib Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.3/500.3 kB 66.7 MB/s eta 0:00:00 Requirement already satisfied: ogb in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (1.3.3) Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.11.0) Requirement already satisfied: iniconfig in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.1.1) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (4.12.0) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.0.0) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (22.1.0) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (2.0.1) Requirement already satisfied: packaging in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (21.3) Requirement already satisfied: typing-extensions>=4.1.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pydantic) (4.3.0) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (2.8.2) Requirement already satisfied: pytz>=2017.2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (2022.2.1) Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (1.21.6) Requirement already satisfied: pyparsing in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from rdflib) (3.0.9) Requirement already satisfied: setuptools in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from rdflib) (61.2.0) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.7/41.7 kB 8.4 MB/s eta 0:00:00 Requirement already satisfied: torch>=1.6.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.9.0+cu102) Requirement already satisfied: scikit-learn>=0.20.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.0.2) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.26.11) Requirement already satisfied: six>=1.12.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.16.0) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (4.64.0) Requirement already satisfied: outdated>=0.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (0.2.1) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest) (3.8.1) Requirement already satisfied: littleutils in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (0.2.2) Requirement already satisfied: requests in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (2.28.1) Requirement already satisfied: threadpoolctl>=2.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (3.1.0) Requirement already satisfied: scipy>=1.1.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.7.3) Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.1.0) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Requirement already satisfied: charset-normalizer<3,>=2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2.1.0) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2022.6.15) Installing collected packages: pyyaml, pydantic, psutil, isodate, rdflib 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] [ OK ] RowwiseTest.TestCSRSamplingUniform (3526 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSampling [ OK ] RowwiseTest.TestCSRPerEtypeSampling (10 ms) [ RUN ] RowwiseTest.TestCSRPerEtypeSamplingUniform [ OK ] RowwiseTest.TestCSRPerEtypeSamplingUniform (5 ms) [ RUN ] RowwiseTest.TestCOOSampling Successfully installed isodate-0.6.1 psutil-5.9.1 pydantic-1.10.1 pyyaml-6.0 rdflib-6.2.0 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4499 collecting ... 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] 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%] 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tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[idtype0] PASSED [ 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%] 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tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype0-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype1-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-dtype1-idtype1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-dtype1-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype0-idtype1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype0] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[dtype1-idtype1] PASSED [ 4%] tests/compute/test_data.py::test_minigc SKIPPED (Datasets don't need...) [ 4%] tests/compute/test_data.py::test_gin SKIPPED (Datasets don't need to...) [ 5%] tests/compute/test_data.py::test_fraud SKIPPED (Datasets don't need ...) [ 5%] tests/compute/test_data.py::test_fakenews SKIPPED (Datasets don't ne...) [ 5%] tests/compute/test_data.py::test_tudataset_regression SKIPPED (Datas...) [ 5%] tests/compute/test_data.py::test_data_hash SKIPPED (Datasets don't n...) [ 5%] tests/compute/test_data.py::test_citation_graph SKIPPED (Datasets do...) [ 5%] tests/compute/test_data.py::test_gnn_benchmark SKIPPED (Datasets don...) [ 5%] tests/compute/test_data.py::test_reddit SKIPPED (Datasets don't need...) [ 5%] tests/compute/test_data.py::test_explain_syn SKIPPED (Datasets don't...) [ 5%] tests/compute/test_data.py::test_wiki_cs SKIPPED (Datasets don't nee...) [ 5%] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) [ 5%] tests/compute/test_data.py::test_flickr SKIPPED (Datasets don't need...) [ 5%] tests/compute/test_data.py::test_extract_archive SKIPPED (Datasets d...) [ 5%] tests/compute/test_data.py::test_csvdataset SKIPPED (Datasets don't ...) [ 5%] tests/compute/test_data.py::test_add_nodepred_split SKIPPED (Dataset...) [ 5%] tests/compute/test_data.py::test_as_nodepred1 SKIPPED (Datasets don'...) [ 5%] tests/compute/test_data.py::test_as_nodepred2 SKIPPED (Datasets don'...) [ 5%] tests/compute/test_data.py::test_as_nodepred_ogb 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 [ 5%] tests/compute/test_data.py::test_as_linkpred SKIPPED (Datasets don't...) [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb 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 [ 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 [ 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 [ 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%] 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%] 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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 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] [ OK ] RowwiseTest.TestCOOSampling (62267 ms) [ RUN ] RowwiseTest.TestCOOSamplingUniform 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] [ OK ] RowwiseTest.TestCOOSamplingUniform (9032 ms) [ RUN ] RowwiseTest.TestCOOerEtypeSampling 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...) 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tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g0] PASSED [ 86%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-32] 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%] 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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 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tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp4-g1] PASSED [ 61%]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] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp0-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g0] PASSED [ 61%] 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tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g0] PASSED [ 67%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g0] PASSED [ 68%] 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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%] 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tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-u-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp4-g1] PASSED [ 71%]PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators1-32-32] 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%] 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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] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp1-g1] PASSED [ 75%] 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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%]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] 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%] 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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 [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers1-aggregators2-32-16] 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%] 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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%]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] 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%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g1] PASSED [ 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 [ 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 [ 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 [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-16] 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 [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-32] 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] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype0] 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 [ 95%] tests/compute/test_specialization.py::test_v2v_pull[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_edge_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype0] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype0] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph1[idtype1] PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype0] PASSED 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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 [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers0-aggregators2-32-16] 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-4499/python/dgl/backend/backend.py:1741: DeprecationWarning: invalid escape sequence \P """ python/dgl/backend/pytorch/tensor.py:16 python/dgl/backend/pytorch/tensor.py:16 /root/jenkins/workspace/dgl_PR-4499/python/dgl/backend/pytorch/tensor.py:16: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(th.__version__) < LooseVersion("1.9.0"): python/dgl/backend/pytorch/tensor.py:340 python/dgl/backend/pytorch/tensor.py:340 /root/jenkins/workspace/dgl_PR-4499/python/dgl/backend/pytorch/tensor.py:340: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(th.__version__) >= LooseVersion("1.10.0"): python/dgl/dataloading/dataloader.py:33 /root/jenkins/workspace/dgl_PR-4499/python/dgl/dataloading/dataloader.py:33: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(torch.__version__) python/dgl/_dataloading/pytorch/dataloader.py:24 /root/jenkins/workspace/dgl_PR-4499/python/dgl/_dataloading/pytorch/dataloader.py:24: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(th.__version__) python/dgl/_dataloading/pytorch/dataloader.py:25 /root/jenkins/workspace/dgl_PR-4499/python/dgl/_dataloading/pytorch/dataloader.py:25: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_16 = PYTORCH_VER >= LooseVersion("1.6.0") python/dgl/_dataloading/pytorch/dataloader.py:26 /root/jenkins/workspace/dgl_PR-4499/python/dgl/_dataloading/pytorch/dataloader.py:26: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_17 = PYTORCH_VER >= LooseVersion("1.7.0") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _nlv = LooseVersion(_np_version) ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p16 = _nlv < LooseVersion("1.16") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p17 = _nlv < LooseVersion("1.17") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p18 = _nlv < LooseVersion("1.18") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p19 = _nlv < LooseVersion("1.19") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p20 = _nlv < LooseVersion("1.20") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(_np_version) >= LooseVersion("1.17.0"): tests/compute/test_basics.py: 2 warnings tests/compute/test_filter.py: 1 warning tests/compute/test_graph.py: 9 warnings tests/compute/test_kernel.py: 3 warnings tests/compute/test_removal.py: 16 warnings tests/compute/test_specialization.py: 12 warnings tests/compute/test_subgraph.py: 2 warnings tests/compute/test_transform.py: 6 warnings tests/compute/test_traversal.py: 2 warnings /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/pytest_compute.xml -- ============================ slowest 100 durations ============================= 24.13s call tests/compute/test_data.py::test_as_graphpred_ogb 11.94s call tests/compute/test_data.py::test_as_linkpred_ogb 7.04s call tests/compute/test_data.py::test_as_nodepred_ogb 6.82s call tests/compute/test_sampler.py::test_negative_sampler 3.40s call tests/compute/test_kernel.py::test_all_binary_builtins 1.37s call tests/compute/test_heterograph.py::test_forking_pickler 0.68s call tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype0] 0.42s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] 0.28s call tests/compute/test_sampling.py::test_non_uniform_random_walk[False] 0.25s call tests/compute/test_graph.py::test_query 0.20s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 0.19s call tests/compute/test_heterograph.py::test_query[idtype0] 0.19s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] 0.19s call tests/compute/test_heterograph.py::test_query[idtype1] 0.19s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 0.17s call tests/compute/test_sampling.py::test_non_uniform_random_walk[True] 0.17s call tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] 0.17s call tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] 0.13s call tests/compute/test_shared_mem.py::test_multi_process[idtype0] 0.13s call tests/compute/test_shared_mem.py::test_multi_process[idtype1] 0.13s call tests/compute/test_shared_mem.py::test_copy_from_gpu 0.13s call tests/compute/test_sampling.py::test_uniform_random_walk[True] 0.12s call tests/compute/test_kernel.py::test_copy_edge_reduce 0.12s call tests/compute/test_kernel.py::test_copy_src_reduce 0.11s call tests/compute/test_sampling.py::test_sample_neighbors_prob 0.11s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 0.08s call tests/compute/test_heterograph.py::test_view1[idtype0] 0.08s call tests/compute/test_heterograph.py::test_view1[idtype1] 0.08s call tests/compute/test_heterograph.py::test_updates[idtype0] 0.07s call tests/compute/test_heterograph.py::test_updates[idtype1] 0.06s call tests/compute/test_sampler.py::test_prefetch_neighbor_sampler 0.06s call tests/compute/test_nccl.py::test_nccl_sparse_push_single_remainder 0.06s call tests/compute/test_traversal.py::test_bfs[idtype0] 0.05s call tests/compute/test_heterograph.py::test_level2[idtype0] 0.05s call tests/compute/test_heterograph.py::test_level2[idtype1] 0.05s call tests/compute/test_traversal.py::test_bfs[idtype1] 0.05s call tests/compute/test_removal.py::test_node_and_edge_removal[idtype0] 0.05s call tests/compute/test_removal.py::test_node_and_edge_removal[idtype1] 0.05s call tests/compute/test_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_nccl.py::test_nccl_sparse_pull_single_remainder 0.04s call tests/compute/test_nccl.py::test_nccl_sparse_pull_single_range 0.04s call tests/compute/test_sampler.py::test_10neighbor_sampler 0.04s call tests/compute/test_specialization.py::test_v2v_pull[idtype0] 0.04s call tests/compute/test_nccl.py::test_nccl_sparse_push_single_range 0.04s call tests/compute/test_sampler.py::test_1neighbor_sampler_all 0.03s call tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype0] 0.03s call tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype1] 0.03s call tests/compute/test_specialization.py::test_v2v_pull[idtype1] 0.03s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] 0.03s call tests/compute/test_transform.py::test_remove_edges[idtype0] 0.03s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] 0.03s call tests/compute/test_transform.py::test_remove_edges[idtype1] 0.03s call tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype0] 0.03s call tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype1] 0.03s call tests/compute/test_transform.py::test_to_block[idtype0] 0.03s call tests/compute/test_heterograph.py::test_flatten[idtype0] 0.03s call tests/compute/test_specialization.py::test_v2v_update_all[idtype0] 0.03s call tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler 0.03s call tests/compute/test_heterograph.py::test_format[idtype0] 0.03s call tests/compute/test_heterograph.py::test_format[idtype1] 0.03s call tests/compute/test_sampler.py::test_setseed 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[idtype1] 0.02s call tests/compute/test_serialize.py::test_load_old_files1 0.02s call tests/compute/test_heterograph.py::test_convert[idtype0] 0.02s call tests/compute/test_heterograph.py::test_convert[idtype1] 0.02s call tests/compute/test_subgraph.py::test_subgraph1[idtype0] 0.02s call tests/compute/test_subgraph.py::test_subgraph1[idtype1] 0.02s call tests/compute/test_sampler.py::test_layer_sampler 0.02s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] 0.02s call tests/compute/test_transform.py::test_reorder_graph[idtype0] 0.02s call tests/compute/test_heterograph.py::test_types_in_function[idtype0] 0.02s call tests/compute/test_transform.py::test_add_edges[idtype0] 0.02s call tests/compute/test_heterograph.py::test_types_in_function[idtype1] 0.02s call tests/compute/test_transform.py::test_add_edges[idtype1] 0.02s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] 0.02s call tests/compute/test_transform.py::test_reorder_graph[idtype1] 0.02s call tests/compute/test_transform.py::test_module_sign[g0] 0.02s call tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] 0.02s call tests/compute/test_sampling.py::test_pinsage_sampling[True] 0.02s call tests/compute/test_transform.py::test_add_reverse_edges 0.02s call tests/compute/test_heterograph.py::test_float_cast 0.02s call tests/compute/test_heterograph.py::test_remove_nodes[idtype0] 0.02s call tests/compute/test_heterograph.py::test_add_edges[idtype1] 0.02s call tests/compute/test_heterograph.py::test_add_edges[idtype0] 0.02s call tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] 0.02s call tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] 0.01s call tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] 0.01s call tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] 0.01s call tests/compute/test_specialization.py::test_update_all_multi_fallback[idtype0] 0.01s call tests/compute/test_heterograph.py::test_remove_nodes[idtype1] 0.01s call tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] 0.01s call tests/compute/test_heterograph.py::test_remove_edges[idtype0] 0.01s call tests/compute/test_transform.py::test_add_selfloop[idtype0] 0.01s call tests/compute/test_transform.py::test_add_selfloop[idtype1] ========== 2327 passed, 108 skipped, 222 warnings in 81.23s (0:01:21) ========== 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] ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4499 collecting ... 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] collected 3675 items tests/pytorch/test_dataloader.py::test_graph_dataloader PASSED [ 0%] tests/pytorch/test_dataloader.py::test_cluster_gcn[0] 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 [ 0%] tests/pytorch/test_dataloader.py::test_cluster_gcn[4] 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 [ 0%] tests/pytorch/test_dataloader.py::test_shadow[0] 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 [ 0%] tests/pytorch/test_dataloader.py::test_shadow[4] 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 [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-0] 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 [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-4] 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 [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-0] 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 [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-4] 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 [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-0] 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 [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-4] 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 [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype0] 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 [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype1] 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 [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cuda_indices-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cuda_indices-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cpu_indices-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-uva_cpu_indices-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-pure_gpu-idtype0] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-pure_gpu-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype0] PASSED [ 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 [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype1] 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 [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-uva_cuda_indices-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-uva_cuda_indices-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-uva_cpu_indices-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-uva_cpu_indices-idtype1] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-32-32] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-pure_gpu-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-pure_gpu-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] PASSED [ 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 [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators2-16-16] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] 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 [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] 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 [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators0-32-16] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype1] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor-idtype0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor2-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-neighbor2-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-full-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-full-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor2-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cpu_indices-neighbor2-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-full-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-full-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor2-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-pure_gpu-neighbor2-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype0] PASSED [ 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 [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] 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 [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] 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 [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] 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 [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] 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 [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] 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 [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-full-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-full-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor2-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cuda_indices-neighbor2-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-uva_cpu_indices-full-idtype0] PASSED [ 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 [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-16] 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 [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] 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 [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype0] PASSED [ 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 [ 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 [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype0] 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 [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype0] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype1] 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 [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-neighbor-idtype0] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-16] 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 [ 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 [ 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%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler1-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-full-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-full-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-neighbor-idtype0] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-uva-neg_sampler2-neighbor-idtype1] SKIPPED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-full-idtype0] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-full-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler0-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-full-idtype0] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-full-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler1-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-full-idtype0] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-full-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-neighbor-idtype0] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-pure_gpu-neg_sampler2-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype0] 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 [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype1] 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 [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype0] 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 [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype1] 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 [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype0] 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 [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype1] 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 [ 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 [ 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 [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype0] 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 [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype1] 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 [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype0] 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 [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype0] PASSED [ 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 [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype1] 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 [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-full-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-full-idtype1] 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 [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-neighbor-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype0] 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 [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype0] 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 [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype1] 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 [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype1] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] PASSED [ 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 [ 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 [ 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] [ OK ] RowwiseTest.TestCOOerEtypeSampling (55704 ms) [ RUN ] RowwiseTest.TestCOOPerEtypeSamplingUniform 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 [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-True] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-32] 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 [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-16-16] 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 [ 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 [ 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 [ 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 [ 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 [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-32] 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 [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 4%] tests/pytorch/test_dist_optim.py::test_sparse_opt 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...) 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[ 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-4499@2\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: 80 warnings C:\Jenkins\workspace\dgl_PR-4499@2\python\dgl\dataloading\dataloader.py:861: DGLWarning: Dataloader CPU affinity opt is not enabled, consider switching it on (see enable_cpu_affinity() or CPU best practices for DGL [https://docs.dgl.ai/tutorials/cpu/cpu_best_practises.html]) dgl_warning(f'Dataloader CPU affinity opt is not enabled, consider switching it on ' tests/pytorch/test_dataloader.py: 48 warnings C:\Jenkins\workspace\dgl_PR-4499@2\python\dgl\dataloading\dataloader.py:83: DGLWarning: The current output_nodes are out of order even if set shuffle to False in Dataloader, the reason is that the current version of torch dose not support stable sort. Please update torch to 1.10.0 or higher to fix it. 'The current output_nodes are out of order even if set shuffle ' tests/pytorch/test_nn.py: 11 warnings tests/pytorch/test_pickle.py: 1 warning C:\Jenkins\workspace\dgl_PR-4499@2\python\dgl\heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/pytorch/test_nn.py::test_set_trans C:\Jenkins\workspace\dgl_PR-4499@2\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-4499@2\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-4499@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: C:\Jenkins\workspace\dgl_PR-4499@2\pytest_backend.xml -- ============================ slowest 100 durations ============================ 18.49s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] 11.68s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] 9.93s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] 9.32s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] 9.25s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype0] 9.09s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] 8.76s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] 8.64s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] 8.32s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] 8.29s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] 8.23s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] 8.18s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] 8.17s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] 8.09s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] 7.91s call tests/pytorch/test_dataloader.py::test_shadow[0] 5.38s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype1] 5.37s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype0] 5.37s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype0] 5.31s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype1] 4.77s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype0] 4.50s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-16] 3.65s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-32] 3.03s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-16] 2.73s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators1-32-16] 2.61s call tests/pytorch/test_dataloader.py::test_shadow[4] 2.56s call tests/pytorch/test_dataloader.py::test_saint[edge-4] 2.54s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-32] 2.51s call tests/pytorch/test_dataloader.py::test_saint[node-4] 2.51s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] 2.48s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-16] 2.43s call tests/pytorch/test_dataloader.py::test_saint[walk-4] 2.43s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] 2.36s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-32] 2.34s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] 2.28s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] 2.27s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] 2.26s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators2-32-16] 2.25s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] 2.22s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] 2.20s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-32] 2.19s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-16] 2.12s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-16] 2.09s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-16] 2.09s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype0] 2.08s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] 2.07s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-16] 2.05s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-16] 2.04s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators0-32-32] 2.02s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-32] 2.00s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-16] 1.97s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-32] 1.97s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-16] 1.97s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-16-16] 1.96s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-16] 1.94s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-32-16] 1.93s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] 1.91s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-16] 1.91s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-32] 1.90s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators1-32-32] 1.90s call tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers1-aggregators1-16-16] 1.81s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-32-16] 1.77s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-16-32] 1.76s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators0-32-32] 1.75s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-32] 1.74s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-32-32] 1.73s call tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-32] 1.72s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-16-32] 1.72s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators2-16-32] 1.71s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators0-16-32] 1.69s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-32] 1.65s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-16-32] 1.62s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-32] 1.59s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators1-16-16] 1.59s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype0] 1.58s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-32] 1.57s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-32-16] 1.56s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] 1.54s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators2-16-16] 1.54s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] 1.53s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-16] 1.52s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-16] 1.49s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] 1.46s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators2-32-32] 1.45s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] 1.45s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-32] 1.45s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-16-32] 1.43s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] 1.41s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] 1.40s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-16] 1.39s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-16] 1.38s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] 1.37s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] 1.36s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] 1.36s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] 1.35s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] 1.35s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] 1.34s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] 1.34s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators2-16-16] 1.33s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] 1.33s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-7.4-scalers1-aggregators0-16-32] ========= 3516 passed, 159 skipped, 146 warnings in 593.01s (0:09:53) ========= ============================= test session starts ============================= platform win32 -- Python 3.6.7, pytest-7.0.1, pluggy-0.13.1 -- C:\Users\Administrator\Envs\jenkins-dgl-PR-4499-5\Scripts\python.exe cachedir: .pytest_cache rootdir: C:\Jenkins\workspace\dgl_PR-4499@2 collecting ... collected 2435 items tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[idtype0] PASSED 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tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g3-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g4-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g5-idtype1] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype0] PASSED [ 6%] tests/pytorch/test_geometry.py::test_edge_coarsening[False-False-g6-idtype1] PASSED [ 6%] tests/pytorch/test_ipc.py::test_torch_ipc PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv0[1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv0[2] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g0-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype0] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g1-idtype1] PASSED [ 6%] tests/pytorch/test_nn.py::test_graph_conv[1-True-True-none-g2-idtype0] PASSED [ 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%] 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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 [ 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[ 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] [ OK ] RowwiseTest.TestCOOPerEtypeSamplingUniform (39953 ms) [ RUN ] RowwiseTest.TestCSRTopk [ OK ] RowwiseTest.TestCSRTopk (677 ms) [ RUN ] RowwiseTest.TestCOOTopk [ OK ] RowwiseTest.TestCOOTopk (908 ms) [ RUN ] RowwiseTest.TestCSRSamplingBiased [ OK ] RowwiseTest.TestCSRSamplingBiased (3292 ms) [----------] 11 tests from RowwiseTest (196698 ms total) [----------] 3 tests from SampleUtilsTest [ RUN ] SampleUtilsTest.TestWithReplacement PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] [ OK ] SampleUtilsTest.TestWithReplacement (2699 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementOrder [ OK ] SampleUtilsTest.TestWithoutReplacementOrder (0 ms) [ RUN ] SampleUtilsTest.TestWithoutReplacementUnique 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] [ OK ] SampleUtilsTest.TestWithoutReplacementUnique (3777 ms) [----------] 3 tests from SampleUtilsTest (6476 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 (59 ms) [ RUN ] Serialize.UnitGraph_CSR [ OK ] Serialize.UnitGraph_CSR (48 ms) [ RUN ] Serialize.ImmutableGraph [ OK ] Serialize.ImmutableGraph (36 ms) [ RUN ] Serialize.HeteroGraph [ OK ] Serialize.HeteroGraph (92 ms) [----------] 4 tests from Serialize (235 ms total) [----------] 3 tests from SmartPtrTest/0, where TypeParam = std::shared_ptr [ RUN ] SmartPtrTest/0.Obj_Test [ OK ] SmartPtrTest/0.Obj_Test (0 ms) [ RUN ] SmartPtrTest/0.Vector_Test1 [ OK ] SmartPtrTest/0.Vector_Test1 (0 ms) [ RUN ] SmartPtrTest/0.Vector_Test2 [ OK ] SmartPtrTest/0.Vector_Test2 (0 ms) [----------] 3 tests from SmartPtrTest/0 (0 ms total) [----------] 3 tests from SmartPtrTest/1, where TypeParam = std::unique_ptr > [ RUN ] SmartPtrTest/1.Obj_Test [ OK ] SmartPtrTest/1.Obj_Test (0 ms) [ RUN ] SmartPtrTest/1.Vector_Test1 [ OK ] SmartPtrTest/1.Vector_Test1 (0 ms) [ RUN ] SmartPtrTest/1.Vector_Test2 [ OK ] SmartPtrTest/1.Vector_Test2 (0 ms) [----------] 3 tests from SmartPtrTest/1 (0 ms total) [----------] 19 tests from SpmatTest [ RUN ] SpmatTest.COOToCSR [ OK ] SpmatTest.COOToCSR (359 ms) [ RUN ] SpmatTest.TestCOOHasDuplicate [ OK ] SpmatTest.TestCOOHasDuplicate (0 ms) [ RUN ] SpmatTest.COOSort [ OK ] SpmatTest.COOSort (0 ms) [ RUN ] SpmatTest.TestCOOReorder [ OK ] SpmatTest.TestCOOReorder (7 ms) [ RUN ] SpmatTest.COOGetData [ OK ] SpmatTest.COOGetData (71 ms) [ RUN ] SpmatTest.COOGetDataAndIndices [ OK ] SpmatTest.COOGetDataAndIndices (0 ms) [ RUN ] SpmatTest.TestCSRIsNonZero 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] [ OK ] SpmatTest.TestCSRIsNonZero (4 ms) [ RUN ] SpmatTest.TestCSRGetRowNNZ [ OK ] SpmatTest.TestCSRGetRowNNZ (0 ms) [ RUN ] SpmatTest.TestCSRGetRowColumnIndices [ OK ] SpmatTest.TestCSRGetRowColumnIndices (0 ms) [ RUN ] SpmatTest.TestCSRGetRowData [ OK ] SpmatTest.TestCSRGetRowData (0 ms) [ RUN ] SpmatTest.CSRGetData [ OK ] SpmatTest.CSRGetData (0 ms) [ RUN ] SpmatTest.CSRGetDataAndIndices [ OK ] SpmatTest.CSRGetDataAndIndices (0 ms) [ RUN ] SpmatTest.CSRTranspose [ OK ] SpmatTest.CSRTranspose (0 ms) [ RUN ] SpmatTest.CSRToCOO [ OK ] SpmatTest.CSRToCOO (0 ms) [ RUN ] SpmatTest.TestCSRSliceRows PASSED [ 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] [ OK ] SpmatTest.TestCSRSliceRows (842 ms) [ RUN ] SpmatTest.CSRSliceMatrix [ OK ] SpmatTest.CSRSliceMatrix (3 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 (1287 ms total) [----------] 6 tests from SpmmTest [ RUN ] SpmmTest.TestSpmmCopyLhs [ OK ] SpmmTest.TestSpmmCopyLhs (1 ms) [ RUN ] SpmmTest.TestSpmmCopyRhs [ OK ] SpmmTest.TestSpmmCopyRhs (1 ms) [ RUN ] SpmmTest.TestSpmmAdd [ OK ] SpmmTest.TestSpmmAdd (1 ms) [ RUN ] SpmmTest.TestSpmmSub [ OK ] SpmmTest.TestSpmmSub (1 ms) [ RUN ] SpmmTest.TestSpmmMul [ OK ] SpmmTest.TestSpmmMul (1 ms) [ RUN ] SpmmTest.TestSpmmDiv [ OK ] SpmmTest.TestSpmmDiv (0 ms) [----------] 6 tests from SpmmTest (5 ms total) [----------] 7 tests from UniGraphTest [ RUN ] UniGraphTest.TestUnitGraph_CopyTo [ OK ] UniGraphTest.TestUnitGraph_CopyTo (1 ms) [ RUN ] UniGraphTest.TestUnitGraph_InOutDegrees [ OK ] UniGraphTest.TestUnitGraph_InOutDegrees (88 ms) [ RUN ] UniGraphTest.TestUnitGraph_Create [ OK ] UniGraphTest.TestUnitGraph_Create (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetInCSR [ OK ] UniGraphTest.TestUnitGraph_GetInCSR (153 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetOutCSR [ OK ] UniGraphTest.TestUnitGraph_GetOutCSR (42 ms) [ RUN ] UniGraphTest.TestUnitGraph_GetCOO [ OK ] UniGraphTest.TestUnitGraph_GetCOO (0 ms) [ RUN ] UniGraphTest.TestUnitGraph_Reserve 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] [ OK ] UniGraphTest.TestUnitGraph_Reserve (94 ms) [----------] 7 tests from UniGraphTest (378 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 (36 ms) [----------] 4 tests from ZeroCopySerialize (36 ms total) [----------] Global test environment tear-down [==========] 101 tests from 23 test suites ran. (217150 ms total) [ PASSED ] 101 tests. ~/jenkins/workspace/dgl_PR-4499 Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... 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] [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 95b73a640b5419ac34eefb5ba664d511afcfb0d1703c04fd1552a99277a53b8a 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] $ docker rm -f 95b73a640b5419ac34eefb5ba664d511afcfb0d1703c04fd1552a99277a53b8a 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] [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv 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] [Pipeline] } Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4499 [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa Cloning the remote Git repository Cloning with configured refspecs honoured and without tags 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] Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 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] Cleaning workspace Fetching without tags 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] > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4499/head:refs/remotes/origin/PR-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba 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] Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) 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] Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace 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] > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 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] + docker pull dgllib/dgl-ci-cpu:v220816 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] v220816: Pulling from dgllib/dgl-ci-cpu Digest: sha256:64b385c33b44dc57cb96ff264a84d8dfb8ced0caa9b30fbc4cec6d5ee511b099 Status: Image is up to date for dgllib/dgl-ci-cpu:v220816 docker.io/dgllib/dgl-ci-cpu:v220816 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 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] + docker inspect -f . dgllib/dgl-ci-cpu:v220816 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 -w /root/jenkins/workspace/dgl_PR-4499 -v /root/jenkins/workspace/dgl_PR-4499:/root/jenkins/workspace/dgl_PR-4499:rw,z -v /root/jenkins/workspace/dgl_PR-4499@tmp:/root/jenkins/workspace/dgl_PR-4499@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:v220816 cat PASSED [ 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] $ docker top 657363afcb9c1ea0e136be26d0544c77db8716dfb45e60aca18750ec7929d55c -eo pid,comm 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] [Pipeline] { [Pipeline] stage [Pipeline] { (Tensorflow CPU Unit test) [Pipeline] sh 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] + 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 786e4b1b-86b9-4b2a-8500-f731d83996aa Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@13c30a2a; decorates RemoteLauncher[hudson.remoting.Channel@2d9d6160: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 [ 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] Fetching without tags 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] Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba 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] Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4499/.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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 82%] 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tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 82%]Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4499 # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 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%] 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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] + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/METIS'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/dlpack'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/dmlc-core'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/googletest'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/libxsmm'... 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] 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] 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] 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] 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] 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 PASSED [ 99%] tests/pytorch/test_pin_memory.py::test_pin_view PASSED [ 99%] tests/pytorch/test_pin_memory.py::test_unpin_automatically PASSED [ 99%] tests/pytorch/test_pin_memory.py::test_pin_unpin_column PASSED [ 99%] tests/pytorch/test_pin_memory.py::test_pin_empty PASSED [ 99%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/thrust'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm'... PASSED [ 99%] tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[2] SKIPPED [100%] =============================== warnings summary =============================== python/dgl/backend/pytorch/tensor.py:16 python/dgl/backend/pytorch/tensor.py:16 /root/jenkins/workspace/dgl_PR-4499/python/dgl/backend/pytorch/tensor.py:16: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(th.__version__) < LooseVersion("1.9.0"): python/dgl/backend/pytorch/tensor.py:340 python/dgl/backend/pytorch/tensor.py:340 /root/jenkins/workspace/dgl_PR-4499/python/dgl/backend/pytorch/tensor.py:340: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(th.__version__) >= LooseVersion("1.10.0"): python/dgl/dataloading/dataloader.py:33 /root/jenkins/workspace/dgl_PR-4499/python/dgl/dataloading/dataloader.py:33: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(torch.__version__) python/dgl/_dataloading/pytorch/dataloader.py:24 /root/jenkins/workspace/dgl_PR-4499/python/dgl/_dataloading/pytorch/dataloader.py:24: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(th.__version__) python/dgl/_dataloading/pytorch/dataloader.py:25 /root/jenkins/workspace/dgl_PR-4499/python/dgl/_dataloading/pytorch/dataloader.py:25: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_16 = PYTORCH_VER >= LooseVersion("1.6.0") python/dgl/_dataloading/pytorch/dataloader.py:26 /root/jenkins/workspace/dgl_PR-4499/python/dgl/_dataloading/pytorch/dataloader.py:26: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_17 = PYTORCH_VER >= LooseVersion("1.7.0") tests/pytorch/test_dataloader.py::test_graph_dataloader /root/jenkins/workspace/dgl_PR-4499/python/dgl/data/minigc.py:159: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations self.labels = F.tensor(np.array(self.labels).astype(np.int)) tests/pytorch/test_dataloader.py: 10 warnings /root/jenkins/workspace/dgl_PR-4499/python/dgl/dataloading/dataloader.py:861: DGLWarning: Dataloader CPU affinity opt is not enabled, consider switching it on (see enable_cpu_affinity() or CPU best practices for DGL [https://docs.dgl.ai/tutorials/cpu/cpu_best_practises.html]) dgl_warning(f'Dataloader CPU affinity opt is not enabled, consider switching it on ' tests/pytorch/test_dataloader.py: 700 warnings /root/jenkins/workspace/dgl_PR-4499/python/dgl/dataloading/dataloader.py:78: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if PYTORCH_VER >= LooseVersion("1.10.0"): tests/pytorch/test_dataloader.py: 128 warnings /root/jenkins/workspace/dgl_PR-4499/python/dgl/dataloading/dataloader.py:83: DGLWarning: The current output_nodes are out of order even if set shuffle to False in Dataloader, the reason is that the current version of torch dose not support stable sort. Please update torch to 1.10.0 or higher to fix it. 'The current output_nodes are out of order even if set shuffle ' tests/pytorch/test_nn.py: 11 warnings tests/pytorch/test_pickle.py: 1 warning /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/pytest_backend.xml -- ============================ slowest 100 durations ============================= 26.13s call tests/pytorch/test_dist_optim.py::test_sparse_opt 5.44s call tests/pytorch/test_unified_tensor.py::test_multi_gpu_unified_tensor[1] 5.29s call tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] 2.60s call tests/pytorch/test_dataloader.py::test_cluster_gcn[0] 1.87s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] 1.57s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] 1.39s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] 1.29s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] 1.26s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype0] 1.23s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] 1.18s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] 1.18s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] 1.16s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] 1.15s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] 1.13s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] 1.11s call tests/pytorch/test_ipc.py::test_torch_ipc 1.10s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] 1.09s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] 1.08s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] 1.05s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype0] 0.88s call tests/pytorch/test_dataloader.py::test_saint[edge-4] 0.87s call tests/pytorch/test_dataloader.py::test_saint[node-4] 0.85s call tests/pytorch/test_dataloader.py::test_saint[walk-4] 0.75s call tests/pytorch/test_dataloader.py::test_shadow[4] 0.74s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype0] 0.73s call tests/pytorch/test_dataloader.py::test_cluster_gcn[4] 0.72s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype1] 0.68s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-cpu-idtype1] 0.62s call tests/pytorch/test_dataloader.py::test_saint[edge-0] 0.61s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] 0.59s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] 0.56s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] 0.55s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g5-idtype1] 0.52s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] 0.51s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] 0.51s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] 0.51s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] 0.50s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] 0.50s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] 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-idtype0] 0.50s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] 0.50s 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-g2-idtype0] 0.50s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-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-g1-idtype0] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] 0.49s call tests/pytorch/test_dataloader.py::test_saint[walk-0] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g2-idtype1] 0.49s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] 0.48s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] 0.48s call tests/pytorch/test_dataloader.py::test_shadow[0] 0.47s call tests/pytorch/test_dataloader.py::test_saint[node-0] 0.33s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[False-pure_gpu-idtype0] 0.25s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype1] 0.25s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype1] 0.24s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype0] 0.24s call tests/pytorch/test_dataloader.py::test_edge_dataloader[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_sampler0-full-idtype0] 0.23s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype0] 0.23s 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_sampler2-full-idtype0] 0.21s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype0] 0.21s 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-idtype1] 0.21s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype1] 0.19s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype0] 0.19s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype0] 0.17s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype0] 0.17s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype1] 0.17s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype1] 0.16s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype1] 0.16s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_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_sampler2-neighbor-idtype1] 0.14s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype0] 0.14s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[50-sampler1-reverse_types-True] 0.14s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-neighbor-idtype0] 0.13s 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[50-sampler1-reverse_types-False] 0.12s call tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators2-32-32] 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-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-uva-neg_sampler0-neighbor-idtype1] 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] 0.10s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype1] 0.09s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype0] 0.09s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype0] 0.09s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype1] 0.09s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype1] 0.09s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype0] ========== 3634 passed, 41 skipped, 863 warnings in 138.29s (0:02:18) ========== [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Torch GPU Example test) [Pipeline] sh Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/xbyak'... + 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 [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@21965841; decorates RemoteLauncher[hudson.remoting.Channel@72cc3942: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 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-4499/third_party/METIS/GKlib'... Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4499/.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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4499 # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # 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/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' [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/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-4499/third_party/tensorpipe/third_party/googletest'... Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' Submodule 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 Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/third_party/thrust/dependencies/cub'... [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 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-4499/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/dmlc-core'... /root/jenkins/workspace/dgl_PR-4499/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([0.0072, 0.0071, 0.0151, 0.0015, 0.0110, 0.0070, 0.0136, 0.0053, 0.0091, 0.0169, 0.0090, 0.0052, 0.0129, 0.0110, 0.0055, 0.0108, 0.0109, 0.0088, 0.0096, 0.0054, 0.0143, 0.0090, 0.0054, 0.0053, 0.0095, 0.0125, 0.0174, 0.0056, 0.0073, 0.0092, 0.0071, 0.0091, 0.0038, 0.0109, 0.0167, 0.0072, 0.0052, 0.0072, 0.0110, 0.0079, 0.0127, 0.0054, 0.0109, 0.0172, 0.0071, 0.0051, 0.0187, 0.0093, 0.0091, 0.0071, 0.0077, 0.0076, 0.0116, 0.0144, 0.0113, 0.0091, 0.0119, 0.0151, 0.0071, 0.0130, 0.0116, 0.0150, 0.0072, 0.0140, 0.0093, 0.0150, 0.0185, 0.0054, 0.0121, 0.0105, 0.0088, 0.0072, 0.0151, 0.0059, 0.0106, 0.0054, 0.0110, 0.0130, 0.0147, 0.0068, 0.0100, 0.0074, 0.0109, 0.0073, 0.0109, 0.0092, 0.0076, 0.0093, 0.0096, 0.0106, 0.0109, 0.0056, 0.0145, 0.0110, 0.0110, 0.0091, 0.0079, 0.0170, 0.0107, 0.0076]) Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/vta-hw'... PASSED [ 5%] tests/compute/test_data.py::test_fraud Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-cpu-linux [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { [Pipeline] sh + bash tests/scripts/task_unit_test.sh tensorflow cpu Requirement already satisfied: pytest in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (7.1.2) Collecting psutil Downloading psutil-5.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (281 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 281.4/281.4 kB 10.4 MB/s eta 0:00:00 Collecting pyyaml Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 596.3/596.3 kB 39.1 MB/s eta 0:00:00 Collecting pydantic Downloading pydantic-1.10.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.8 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 11.8/11.8 MB 138.3 MB/s eta 0:00:00 Collecting pandas Using cached pandas-1.1.5-cp37-cp37m-manylinux1_x86_64.whl (9.5 MB) Collecting rdflib Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.3/500.3 kB 66.6 MB/s eta 0:00:00 Collecting ogb Downloading ogb-1.3.4-py3-none-any.whl (78 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.6/78.6 kB 15.5 MB/s eta 0:00:00 Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (22.1.0) Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (1.11.0) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (2.0.1) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (4.12.0) Requirement already satisfied: iniconfig in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (1.1.1) Requirement already satisfied: packaging in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (21.3) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pytest) (1.0.0) Requirement already satisfied: typing-extensions>=4.1.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pydantic) (4.3.0) Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from pandas) (1.18.5) Collecting pytz>=2017.2 Using cached 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/python3.7/site-packages (from pandas) (2.8.2) Requirement already satisfied: setuptools in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from rdflib) (61.2.0) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.7/41.7 kB 8.0 MB/s eta 0:00:00 Requirement already satisfied: pyparsing in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from rdflib) (3.0.9) Requirement already satisfied: six>=1.12.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from ogb) (1.16.0) Collecting torch>=1.6.0 Downloading torch-1.12.1-cp37-cp37m-manylinux1_x86_64.whl (776.3 MB) PASSED [ 5%] tests/compute/test_data.py::test_fakenews Training with DGL built-in GraphConv module. Downloading /root/jenkins/workspace/dgl_PR-4499/cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4499/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 1.9464 | Accuracy 0.1640 Epoch 00001 | Loss 1.9431 | Accuracy 0.1820 Epoch 00002 | Loss 1.9380 | Accuracy 0.5120 Epoch 00003 | Loss 1.9323 | Accuracy 0.5060 Epoch 00004 | Loss 1.9251 | Accuracy 0.4720 Epoch 00005 | Loss 1.9165 | Accuracy 0.5420 Epoch 00006 | Loss 1.9113 | Accuracy 0.5460 Epoch 00007 | Loss 1.9003 | Accuracy 0.5120 Epoch 00008 | Loss 1.8923 | Accuracy 0.5320 Epoch 00009 | Loss 1.8793 | Accuracy 0.5520 Epoch 00010 | Loss 1.8700 | Accuracy 0.5940 Epoch 00011 | Loss 1.8595 | Accuracy 0.6180 Epoch 00012 | Loss 1.8432 | Accuracy 0.6500 Epoch 00013 | Loss 1.8364 | Accuracy 0.6500 Epoch 00014 | Loss 1.8220 | Accuracy 0.6480 Epoch 00015 | Loss 1.8106 | Accuracy 0.6480 Epoch 00016 | Loss 1.7918 | Accuracy 0.6540 Epoch 00017 | Loss 1.7791 | Accuracy 0.6660 Epoch 00018 | Loss 1.7651 | Accuracy 0.6740 Epoch 00019 | Loss 1.7480 | Accuracy 0.6840 Epoch 00020 | Loss 1.7307 | Accuracy 0.6920 Epoch 00021 | Loss 1.7168 | Accuracy 0.7040 Epoch 00022 | Loss 1.6961 | Accuracy 0.7080 Epoch 00023 | Loss 1.6827 | Accuracy 0.6980 Epoch 00024 | Loss 1.6446 | Accuracy 0.7020 Epoch 00025 | Loss 1.6479 | Accuracy 0.6980 Epoch 00026 | Loss 1.6309 | Accuracy 0.7000 Epoch 00027 | Loss 1.6040 | Accuracy 0.7020 Epoch 00028 | Loss 1.5764 | Accuracy 0.7020 Epoch 00029 | Loss 1.5787 | Accuracy 0.7080 Epoch 00030 | Loss 1.5403 | Accuracy 0.7180 Epoch 00031 | Loss 1.5319 | Accuracy 0.7280 Epoch 00032 | Loss 1.4965 | Accuracy 0.7300 Epoch 00033 | Loss 1.4639 | Accuracy 0.7360 Epoch 00034 | Loss 1.4574 | Accuracy 0.7400 Epoch 00035 | Loss 1.4379 | Accuracy 0.7380 Epoch 00036 | Loss 1.4102 | Accuracy 0.7380 Epoch 00037 | Loss 1.3933 | Accuracy 0.7340 Epoch 00038 | Loss 1.3942 | Accuracy 0.7400 Epoch 00039 | Loss 1.3429 | Accuracy 0.7380 Epoch 00040 | Loss 1.3258 | Accuracy 0.7360 Epoch 00041 | Loss 1.2940 | Accuracy 0.7360 Epoch 00042 | Loss 1.2742 | Accuracy 0.7360 Epoch 00043 | Loss 1.2725 | Accuracy 0.7400 Epoch 00044 | Loss 1.1850 | Accuracy 0.7440 Epoch 00045 | Loss 1.2149 | Accuracy 0.7460 Epoch 00046 | Loss 1.1506 | Accuracy 0.7460 Epoch 00047 | Loss 1.1492 | Accuracy 0.7520 Epoch 00048 | Loss 1.1417 | Accuracy 0.7520 Epoch 00049 | Loss 1.0969 | Accuracy 0.7500 Epoch 00050 | Loss 1.1313 | Accuracy 0.7520 Epoch 00051 | Loss 1.0887 | Accuracy 0.7540 Epoch 00052 | Loss 1.0705 | Accuracy 0.7540 Epoch 00053 | Loss 1.0269 | Accuracy 0.7580 Epoch 00054 | Loss 1.0370 | Accuracy 0.7520 Epoch 00055 | Loss 0.9938 | Accuracy 0.7540 Epoch 00056 | Loss 0.9884 | Accuracy 0.7540 Epoch 00057 | Loss 0.9264 | Accuracy 0.7560 Epoch 00058 | Loss 0.9378 | Accuracy 0.7580 Epoch 00059 | Loss 0.9029 | Accuracy 0.7580 Epoch 00060 | Loss 0.9022 | Accuracy 0.7600 Epoch 00061 | Loss 0.8818 | Accuracy 0.7560 Epoch 00062 | Loss 0.8537 | Accuracy 0.7560 Epoch 00063 | Loss 0.8721 | Accuracy 0.7580 Epoch 00064 | Loss 0.8249 | Accuracy 0.7600 Epoch 00065 | Loss 0.8278 | Accuracy 0.7560 Epoch 00066 | Loss 0.8136 | Accuracy 0.7540 Epoch 00067 | Loss 0.8139 | Accuracy 0.7560 Epoch 00068 | Loss 0.7924 | Accuracy 0.7620 Epoch 00069 | Loss 0.8035 | Accuracy 0.7640 Epoch 00070 | Loss 0.7751 | Accuracy 0.7620 Epoch 00071 | Loss 0.7396 | Accuracy 0.7660 Epoch 00072 | Loss 0.7579 | Accuracy 0.7680 Epoch 00073 | Loss 0.6965 | Accuracy 0.7720 Epoch 00074 | Loss 0.6993 | Accuracy 0.7720 Epoch 00075 | Loss 0.6789 | Accuracy 0.7700 Epoch 00076 | Loss 0.6898 | Accuracy 0.7680 Epoch 00077 | Loss 0.7079 | Accuracy 0.7720 Epoch 00078 | Loss 0.6631 | Accuracy 0.7700 Epoch 00079 | Loss 0.6815 | Accuracy 0.7700 Epoch 00080 | Loss 0.6184 | Accuracy 0.7700 Epoch 00081 | Loss 0.6344 | Accuracy 0.7680 Epoch 00082 | Loss 0.6306 | Accuracy 0.7700 Epoch 00083 | Loss 0.6328 | Accuracy 0.7720 Epoch 00084 | Loss 0.6332 | Accuracy 0.7720 Epoch 00085 | Loss 0.6144 | Accuracy 0.7660 Epoch 00086 | Loss 0.5964 | Accuracy 0.7640 Epoch 00087 | Loss 0.5809 | Accuracy 0.7640 Epoch 00088 | Loss 0.6040 | Accuracy 0.7640 Epoch 00089 | Loss 0.5692 | Accuracy 0.7680 Epoch 00090 | Loss 0.5860 | Accuracy 0.7700 Epoch 00091 | Loss 0.5525 | Accuracy 0.7720 Epoch 00092 | Loss 0.5504 | Accuracy 0.7720 Epoch 00093 | Loss 0.5638 | Accuracy 0.7740 Epoch 00094 | Loss 0.5742 | Accuracy 0.7800 Epoch 00095 | Loss 0.5232 | Accuracy 0.7820 Epoch 00096 | Loss 0.5192 | Accuracy 0.7820 Epoch 00097 | Loss 0.4968 | Accuracy 0.7760 Epoch 00098 | Loss 0.5222 | Accuracy 0.7740 Epoch 00099 | Loss 0.5022 | Accuracy 0.7720 Epoch 00100 | Loss 0.5090 | Accuracy 0.7740 Epoch 00101 | Loss 0.4618 | Accuracy 0.7740 Epoch 00102 | Loss 0.4756 | Accuracy 0.7780 Epoch 00103 | Loss 0.5094 | Accuracy 0.7800 Epoch 00104 | Loss 0.5184 | Accuracy 0.7840 Epoch 00105 | Loss 0.4862 | Accuracy 0.7880 Epoch 00106 | Loss 0.5064 | Accuracy 0.7860 Epoch 00107 | Loss 0.4792 | Accuracy 0.7880 Epoch 00108 | Loss 0.4813 | Accuracy 0.7860 Epoch 00109 | Loss 0.5025 | Accuracy 0.7860 Epoch 00110 | Loss 0.4861 | Accuracy 0.7840 Epoch 00111 | Loss 0.4585 | Accuracy 0.7800 Epoch 00112 | Loss 0.4228 | Accuracy 0.7800 Epoch 00113 | Loss 0.4407 | Accuracy 0.7740 Epoch 00114 | Loss 0.4395 | Accuracy 0.7800 Epoch 00115 | Loss 0.4523 | Accuracy 0.7840 Epoch 00116 | Loss 0.4920 | Accuracy 0.7840 Epoch 00117 | Loss 0.4069 | Accuracy 0.7860 Epoch 00118 | Loss 0.4247 | Accuracy 0.7820 Epoch 00119 | Loss 0.4521 | Accuracy 0.7800 Epoch 00120 | Loss 0.4481 | Accuracy 0.7800 Epoch 00121 | Loss 0.4166 | Accuracy 0.7800 Epoch 00122 | Loss 0.4304 | Accuracy 0.7820 Epoch 00123 | Loss 0.4350 | Accuracy 0.7800 Epoch 00124 | Loss 0.4197 | Accuracy 0.7780 Epoch 00125 | Loss 0.3867 | Accuracy 0.7800 Epoch 00126 | Loss 0.4390 | Accuracy 0.7800 Epoch 00127 | Loss 0.4099 | Accuracy 0.7800 Epoch 00128 | Loss 0.4213 | Accuracy 0.7760 Epoch 00129 | Loss 0.4000 | Accuracy 0.7780 Epoch 00130 | Loss 0.4012 | Accuracy 0.7800 Epoch 00131 | Loss 0.4234 | Accuracy 0.7800 Epoch 00132 | Loss 0.3981 | Accuracy 0.7800 Epoch 00133 | Loss 0.3840 | Accuracy 0.7840 Epoch 00134 | Loss 0.4057 | Accuracy 0.7860 Epoch 00135 | Loss 0.3822 | Accuracy 0.7820 Epoch 00136 | Loss 0.3653 | Accuracy 0.7840 Epoch 00137 | Loss 0.3526 | Accuracy 0.7860 Epoch 00138 | Loss 0.3666 | Accuracy 0.7860 Epoch 00139 | Loss 0.3720 | Accuracy 0.7860 Epoch 00140 | Loss 0.3629 | Accuracy 0.7840 Epoch 00141 | Loss 0.3887 | Accuracy 0.7820 Epoch 00142 | Loss 0.3762 | Accuracy 0.7800 Epoch 00143 | Loss 0.4276 | Accuracy 0.7840 Epoch 00144 | Loss 0.3806 | Accuracy 0.7720 Epoch 00145 | Loss 0.3687 | Accuracy 0.7760 Epoch 00146 | Loss 0.3641 | Accuracy 0.7840 Epoch 00147 | Loss 0.3778 | Accuracy 0.7840 Epoch 00148 | Loss 0.3638 | Accuracy 0.7860 Epoch 00149 | Loss 0.3712 | Accuracy 0.7840 Epoch 00150 | Loss 0.3616 | Accuracy 0.7940 Epoch 00151 | Loss 0.3494 | Accuracy 0.7940 Epoch 00152 | Loss 0.3645 | Accuracy 0.7960 Epoch 00153 | Loss 0.3513 | Accuracy 0.7960 Epoch 00154 | Loss 0.3609 | Accuracy 0.7880 Epoch 00155 | Loss 0.3401 | Accuracy 0.7840 Epoch 00156 | Loss 0.3472 | Accuracy 0.7820 Epoch 00157 | Loss 0.3217 | Accuracy 0.7780 Epoch 00158 | Loss 0.3768 | Accuracy 0.7780 Epoch 00159 | Loss 0.3628 | Accuracy 0.7800 Epoch 00160 | Loss 0.3578 | Accuracy 0.7820 Epoch 00161 | Loss 0.3291 | Accuracy 0.7840 Epoch 00162 | Loss 0.3388 | Accuracy 0.7880 Epoch 00163 | Loss 0.3239 | Accuracy 0.7840 Epoch 00164 | Loss 0.3592 | Accuracy 0.7840 Epoch 00165 | Loss 0.3443 | Accuracy 0.7820 Epoch 00166 | Loss 0.3203 | Accuracy 0.7800 Epoch 00167 | Loss 0.3531 | Accuracy 0.7820 Epoch 00168 | Loss 0.3143 | Accuracy 0.7800 Epoch 00169 | Loss 0.3241 | Accuracy 0.7820 Epoch 00170 | Loss 0.3304 | Accuracy 0.7820 Epoch 00171 | Loss 0.3371 | Accuracy 0.7820 Epoch 00172 | Loss 0.3369 | Accuracy 0.7820 Epoch 00173 | Loss 0.3063 | Accuracy 0.7820 Epoch 00174 | Loss 0.3444 | Accuracy 0.7840 Epoch 00175 | Loss 0.3229 | Accuracy 0.7820 Epoch 00176 | Loss 0.2938 | Accuracy 0.7840 Epoch 00177 | Loss 0.3475 | Accuracy 0.7860 Epoch 00178 | Loss 0.3629 | Accuracy 0.7860 Epoch 00179 | Loss 0.3314 | Accuracy 0.7840 Epoch 00180 | Loss 0.3476 | Accuracy 0.7860 Epoch 00181 | Loss 0.3559 | Accuracy 0.7840 Epoch 00182 | Loss 0.3361 | Accuracy 0.7860 Epoch 00183 | Loss 0.3229 | Accuracy 0.7880 Epoch 00184 | Loss 0.3171 | Accuracy 0.7860 Epoch 00185 | Loss 0.3054 | Accuracy 0.7880 Epoch 00186 | Loss 0.3296 | Accuracy 0.7880 Epoch 00187 | Loss 0.3303 | Accuracy 0.7860 Epoch 00188 | Loss 0.3105 | Accuracy 0.7820 Epoch 00189 | Loss 0.2933 | Accuracy 0.7840 Epoch 00190 | Loss 0.3077 | Accuracy 0.7820 Epoch 00191 | Loss 0.2843 | Accuracy 0.7820 Epoch 00192 | Loss 0.3189 | Accuracy 0.7860 Epoch 00193 | Loss 0.2837 | Accuracy 0.7880 Epoch 00194 | Loss 0.2999 | Accuracy 0.7880 Epoch 00195 | Loss 0.3103 | Accuracy 0.7880 Epoch 00196 | Loss 0.3125 | Accuracy 0.7900 Epoch 00197 | Loss 0.3081 | Accuracy 0.7900 Epoch 00198 | Loss 0.2879 | Accuracy 0.7880 Epoch 00199 | Loss 0.3099 | Accuracy 0.7840 Testing... Test accuracy 0.7930 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, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5625e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 9.9963e-01, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 6.1490e-06, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00]])]} 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 b123b8326690c2483cef5d094bc3e14b01cc092a9ec91ba7e827e51a34060bb4 $ docker rm -f b123b8326690c2483cef5d094bc3e14b01cc092a9ec91ba7e827e51a34060bb4 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4499 [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 776.3/776.3 MB 5.4 MB/s eta 0:00:00 Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from ogb) (4.64.0) 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/python3.7/site-packages (from ogb) (1.26.11) Collecting scikit-learn>=0.20.0 Using cached scikit_learn-1.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (24.8 MB) [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa Cloning the remote Git repository Cloning with configured refspecs honoured and without tags Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest) (3.8.1) Collecting littleutils Using cached littleutils-0.2.2-py3-none-any.whl Requirement already satisfied: requests in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (2.28.1) Requirement already satisfied: scipy>=1.1.0 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.4.1) Collecting threadpoolctl>=2.0.0 Using cached threadpoolctl-3.1.0-py3-none-any.whl (14 kB) Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.1.0) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2022.6.15) Requirement already satisfied: charset-normalizer<3,>=2 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2.1.0) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Installing collected packages: pytz, littleutils, torch, threadpoolctl, pyyaml, pydantic, psutil, isodate, scikit-learn, rdflib, pandas, outdated, ogb Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4499/head:refs/remotes/origin/PR-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh > git clean -fdx # timeout=10 + docker inspect -f . nvcr.io/nvidia/pytorch:22.04-py3 . [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-4499 -v /root/jenkins/workspace/dgl_PR-4499:/root/jenkins/workspace/dgl_PR-4499:rw,z -v /root/jenkins/workspace/dgl_PR-4499@tmp:/root/jenkins/workspace/dgl_PR-4499@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** nvcr.io/nvidia/pytorch:22.04-py3 cat $ docker top d18bfd4f10d618ad1b8784986602f57dca51de6e3e485d227278534acdfb9c13 -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 + 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.d18bfd4f10d6.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.d18bfd4f10d6.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 Sun Sep 4 03:42:52 2022 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 510.47.03 Driver Version: 510.47.03 CUDA Version: 11.6 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===============================+======================+======================| | 0 Tesla T4 On | 00000000:00:1E.0 Off | 0 | | N/A 43C P0 29W / 70W | 99MiB / 15360MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | 0 N/A N/A 5806 C 97MiB | +-----------------------------------------------------------------------------+ [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.d18bfd4f10d6.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.d18bfd4f10d6.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 786e4b1b-86b9-4b2a-8500-f731d83996aa Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@5f1811c1; decorates RemoteLauncher[hudson.remoting.Channel@72cc3942: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 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4499/.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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4499 # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > 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.d18bfd4f10d6.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.d18bfd4f10d6.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/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-4499/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/libxsmm'... Successfully installed isodate-0.6.1 littleutils-0.2.2 ogb-1.3.4 outdated-0.2.1 pandas-1.1.5 psutil-5.9.1 pydantic-1.10.1 pytz-2022.2.1 pyyaml-6.0 rdflib-6.2.0 scikit-learn-1.0.2 threadpoolctl-3.1.0 torch-1.12.1 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/tensorflow-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4499 collecting ... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe'... 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] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/thrust'... PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[idtype1] PASSED [ 0%] tests/compute/test_basics.py::test_dynamic_addition PASSED [ 0%] tests/compute/test_basics.py::test_repr[idtype0] PASSED [ 0%] tests/compute/test_basics.py::test_repr[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype0] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[idtype1] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype0] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm'... PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[idtype0] SKIPPED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[idtype1] SKIPPED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[idtype1] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype0] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[idtype1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[idtype0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype0-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype0-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype1-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[idtype1-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[idtype0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[idtype1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_features[idtype0] 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] Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/xbyak'... 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] 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-4499/third_party/METIS/GKlib'... 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] Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' 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 [ 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] Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' 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] 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-4499/third_party/tensorpipe/third_party/googletest'... 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 Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/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-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.d18bfd4f10d6.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.d18bfd4f10d6.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) Collecting rdflib Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) Collecting ogb Downloading ogb-1.3.4-py3-none-any.whl (78 kB) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/lib/python3.8/site-packages (from pytest) (21.4.0) Requirement already satisfied: toml in /opt/conda/lib/python3.8/site-packages (from pytest) (0.10.2) 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: py>=1.8.2 in /opt/conda/lib/python3.8/site-packages (from pytest) (1.11.0) 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: python-dateutil>=2.7.3 in /opt/conda/lib/python3.8/site-packages (from pandas) (2.8.2) 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) Requirement already satisfied: setuptools in /opt/conda/lib/python3.8/site-packages (from rdflib) (59.5.0) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) Requirement already satisfied: pyparsing in /opt/conda/lib/python3.8/site-packages (from rdflib) (3.0.8) Collecting outdated>=0.2.0 Downloading outdated-0.2.1-py3-none-any.whl (7.5 kB) Requirement already satisfied: scikit-learn>=0.20.0 in /opt/conda/lib/python3.8/site-packages (from ogb) (0.24.2) Requirement already satisfied: torch>=1.6.0 in /opt/conda/lib/python3.8/site-packages (from ogb) (1.12.0a0+bd13bc6) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/lib/python3.8/site-packages (from ogb) (1.26.9) Requirement already satisfied: six>=1.12.0 in /opt/conda/lib/python3.8/site-packages (from ogb) (1.16.0) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/lib/python3.8/site-packages (from ogb) (4.64.0) 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: 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: joblib>=0.11 in /opt/conda/lib/python3.8/site-packages (from scikit-learn>=0.20.0->ogb) (1.1.0) 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: 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=4694e0a68c13b2db4ff8ea9dbb040b584d0e94a761d42fa6a070a48980eea6aa Stored in directory: /tmp/pip-ephem-wheel-cache-_qms54w3/wheels/6a/33/c4/0ef84d7f5568c2823e3d63a6e08988852fb9e4bc822034870a Successfully built littleutils Installing collected packages: littleutils, outdated, isodate, rdflib, ogb Successfully installed isodate-0.6.1 littleutils-0.2.2 ogb-1.3.4 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 ============================= 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-4499/.hypothesis/examples') rootdir: /root/jenkins/workspace/dgl_PR-4499 plugins: pythonpath-0.7.4, cov-3.0.0, hypothesis-4.50.8 collecting ... collected 3 items tests/cugraph/test_basics.py::test_dummy PASSED [ 33%] tests/cugraph/test_basics.py::test_to_cugraph_conversion 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-4499/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-4499/pytest_cugraph.xml -- ============================= slowest 20 durations ============================= 3.33s 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 6.84s ========================= [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 d18bfd4f10d618ad1b8784986602f57dca51de6e3e485d227278534acdfb9c13 $ docker rm -f d18bfd4f10d618ad1b8784986602f57dca51de6e3e485d227278534acdfb9c13 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dglci-manual-gpu-worker in /root/jenkins/workspace/dgl_PR-4499 [Pipeline] // node [Pipeline] { [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa 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-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4499/head:refs/remotes/origin/PR-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker pull dgllib/dgl-ci-gpu:cu101_v220816 cu101_v220816: Pulling from dgllib/dgl-ci-gpu Digest: sha256:ca40fc52876a2563a4e904d0c271d658c1acc8e6a4f8611b578bb49f8c7fd925 Status: Image is up to date for dgllib/dgl-ci-gpu:cu101_v220816 docker.io/dgllib/dgl-ci-gpu:cu101_v220816 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-gpu:cu101_v220816 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dglci-manual-gpu-worker does not seem to be running inside a container $ docker run -t -d -u 0:0 --runtime nvidia -w /root/jenkins/workspace/dgl_PR-4499 -v /root/jenkins/workspace/dgl_PR-4499:/root/jenkins/workspace/dgl_PR-4499:rw,z -v /root/jenkins/workspace/dgl_PR-4499@tmp:/root/jenkins/workspace/dgl_PR-4499@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-gpu:cu101_v220816 cat $ docker top de73c67ffa4a79713667685cba6db8055b6efedc6f128f7788ad189db1ad7f42 -eo pid,comm [Pipeline] { [Pipeline] stage [Pipeline] { (MXNet GPU Unit test) [Pipeline] sh + nvidia-smi Sun Sep 4 03:44:02 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 39C P8 16W / 70W | 0MiB / 15360MiB | 0% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | No running processes found | +-----------------------------------------------------------------------------+ [Pipeline] sh PASSED [ 5%] tests/compute/test_data.py::test_tudataset_regression + 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 786e4b1b-86b9-4b2a-8500-f731d83996aa Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@66026b7e; decorates RemoteLauncher[hudson.remoting.Channel@72cc3942: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 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4499/.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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4499 # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/googletest'... Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4499@2 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa 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-4499@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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/libxsmm'... Cleaning workspace Fetching without tags Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4499/head:refs/remotes/origin/PR-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker pull dgllib/dgl-ci-cpu:v220816 v220816: Pulling from dgllib/dgl-ci-cpu Digest: sha256:64b385c33b44dc57cb96ff264a84d8dfb8ced0caa9b30fbc4cec6d5ee511b099 Status: Image is up to date for dgllib/dgl-ci-cpu:v220816 docker.io/dgllib/dgl-ci-cpu:v220816 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-cpu:v220816 . [Pipeline] } [Pipeline] // withEnv [Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container $ docker run -t -d -u 0:0 --shm-size=4gb -w /root/jenkins/workspace/dgl_PR-4499@2 -v /root/jenkins/workspace/dgl_PR-4499@2:/root/jenkins/workspace/dgl_PR-4499@2:rw,z -v /root/jenkins/workspace/dgl_PR-4499@2@tmp:/root/jenkins/workspace/dgl_PR-4499@2@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:v220816 cat $ docker top 0853a1fb19421354d520b5ec2e4b7c189066c208ee0207318bb6ad04098e13af -eo pid,comm [Pipeline] { [Pipeline] stage [Pipeline] { (Torch CPU Unit test) [Pipeline] sh + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@4e0840d1; decorates RemoteLauncher[hudson.remoting.Channel@2d9d6160: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 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4499@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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4499 # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/METIS'... Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4499@3 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa Cloning the remote Git repository Cloning with configured refspecs honoured and without tags Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/dlpack'... Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4499@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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/dmlc-core'... Cleaning workspace Fetching without tags Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/googletest'... Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4499/head:refs/remotes/origin/PR-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker pull dgllib/dgl-ci-cpu:ssh_v220818 Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/libxsmm'... PASSED [ 5%] tests/compute/test_data.py::test_fraud PASSED [ 5%] tests/compute/test_data.py::test_fakenews ssh_v220818: Pulling from dgllib/dgl-ci-cpu Digest: sha256:9c66e1df96cfae9cb9aa9ba39ef4921e152409d1447d6b123659ff4f84b4291f Status: Image is up to date for dgllib/dgl-ci-cpu:ssh_v220818 docker.io/dgllib/dgl-ci-cpu:ssh_v220818 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker inspect -f . dgllib/dgl-ci-cpu:ssh_v220818 . [Pipeline] } [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-4499@3 -v /root/jenkins/workspace/dgl_PR-4499@3:/root/jenkins/workspace/dgl_PR-4499@3:rw,z -v /root/jenkins/workspace/dgl_PR-4499@3@tmp:/root/jenkins/workspace/dgl_PR-4499@3@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:ssh_v220818 cat $ docker top 85d1f9a2933408938d3f7779c0896c36d6b0ea3e519d41d06cda212a842f3caa -eo pid,comm ERROR: The container started but didn't run the expected command. Please double check your ENTRYPOINT does execute the command passed as docker run argument, as required by official docker images (see https://github.com/docker-library/official-images#consistency for entrypoint consistency requirements). Alternatively you can force image entrypoint to be disabled by adding option `--entrypoint=''`. [Pipeline] { [Pipeline] stage [Pipeline] { (Distributed Torch CPU Unit test) [Pipeline] sh + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks cmake conda dglgo docker docs examples featgraph include python readthedocs.yml src tensoradapter tests third_party tools tutorials [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@633fd30b; decorates RemoteLauncher[hudson.remoting.Channel@2d9d6160: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 Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/nccl'... Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4499@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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4499 # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/phmap'... [Pipeline] sh + git submodule update --recursive --init Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe'... Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/googletest'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/libxsmm'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/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-4499/third_party/METIS/GKlib'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/nccl'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' 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-4499/third_party/tensorpipe/third_party/googletest'... PASSED [ 5%] tests/compute/test_data.py::test_data_hash PASSED [ 5%] tests/compute/test_data.py::test_citation_graph Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tensorpipe/third_party/pybind11'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/tvm'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/phmap'... PASSED [ 5%] tests/compute/test_data.py::test_gnn_benchmark Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/thrust'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/xbyak'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/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 '/root/jenkins/workspace/dgl_PR-4499@2/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' 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/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-4499/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-4499/third_party/thrust/dependencies/cub'... Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/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-4499@2/third_party/tensorpipe/third_party/googletest'... Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/third_party/libnop'... 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-4499/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/third_party/libuv'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/xbyak'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/METIS/GKlib'... Cloning into '/root/jenkins/workspace/dgl_PR-4499/third_party/tvm/3rdparty/vta-hw'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/tensorpipe/third_party/pybind11'... Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' 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/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-4499@2/third_party/tensorpipe/third_party/pybind11/tools/clang'... 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-4499@3/third_party/tensorpipe/third_party/googletest'... 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-4499@2/third_party/thrust/dependencies/cub'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/third_party/libuv'... 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-4499@2/third_party/tvm/3rdparty/dlpack'... [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-gpu-linux [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { [Pipeline] sh Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/tvm/3rdparty/dmlc-core'... + bash tests/scripts/task_unit_test.sh mxnet gpu Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/tvm/3rdparty/rang'... Requirement already satisfied: pytest in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (7.1.2) Collecting psutil Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/third_party/pybind11'... Downloading psutil-5.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (281 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 281.4/281.4 kB 9.6 MB/s eta 0:00:00 Collecting pyyaml Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 596.3/596.3 kB 36.2 MB/s eta 0:00:00 Cloning into '/root/jenkins/workspace/dgl_PR-4499@2/third_party/tvm/3rdparty/vta-hw'... Collecting pydantic Downloading pydantic-1.10.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.8 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 11.8/11.8 MB 112.8 MB/s eta 0:00:00 Collecting pandas Using cached pandas-1.1.5-cp37-cp37m-manylinux1_x86_64.whl (9.5 MB) Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Collecting rdflib Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.3/500.3 kB 66.2 MB/s eta 0:00:00 Collecting ogb Downloading ogb-1.3.4-py3-none-any.whl (78 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 78.6/78.6 kB 18.0 MB/s eta 0:00:00 Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pytest) (1.0.0) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pytest) (4.12.0) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pytest) (2.0.1) Requirement already satisfied: packaging in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pytest) (21.3) Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pytest) (1.11.0) Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pytest) (22.1.0) Requirement already satisfied: iniconfig in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pytest) (1.1.1) Requirement already satisfied: typing-extensions>=4.1.0 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pydantic) (4.3.0) Collecting pytz>=2017.2 Using cached 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/python3.7/site-packages (from pandas) (1.21.6) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from pandas) (2.8.2) Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.7/41.7 kB 9.4 MB/s eta 0:00:00 Requirement already satisfied: pyparsing in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from rdflib) (3.0.9) Requirement already satisfied: setuptools in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from rdflib) (61.2.0) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from ogb) (1.26.11) Requirement already satisfied: six>=1.12.0 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from ogb) (1.16.0) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from ogb) (4.64.0) Collecting torch>=1.6.0 Downloading torch-1.12.1-cp37-cp37m-manylinux1_x86_64.whl (776.3 MB) [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-cpu-linux [Pipeline] timeout Timeout set to expire in 30 min [Pipeline] { [Pipeline] sh + bash tests/scripts/task_unit_test.sh pytorch cpu 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-4499@3/third_party/tensorpipe/third_party/pybind11/tools/clang'... Requirement already satisfied: pytest in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (7.1.2) Collecting psutil Downloading psutil-5.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (281 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 281.4/281.4 kB 10.0 MB/s eta 0:00:00 Collecting pyyaml Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 596.3/596.3 kB 38.8 MB/s eta 0:00:00 Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Collecting pydantic Downloading pydantic-1.10.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.8 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 11.8/11.8 MB 96.0 MB/s eta 0:00:00 Requirement already satisfied: pandas in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (1.1.5) Collecting rdflib Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.3/500.3 kB 55.5 MB/s eta 0:00:00 Requirement already satisfied: ogb in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (1.3.3) Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/thrust/dependencies/cub'... Requirement already satisfied: attrs>=19.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (22.1.0) Requirement already satisfied: iniconfig in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.1.1) Requirement already satisfied: importlib-metadata>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (4.12.0) Requirement already satisfied: py>=1.8.2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.11.0) Requirement already satisfied: pluggy<2.0,>=0.12 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (1.0.0) Requirement already satisfied: tomli>=1.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (2.0.1) Requirement already satisfied: packaging in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pytest) (21.3) Requirement already satisfied: typing-extensions>=4.1.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pydantic) (4.3.0) Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (2.8.2) Requirement already satisfied: pytz>=2017.2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (2022.2.1) Requirement already satisfied: numpy>=1.15.4 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from pandas) (1.21.6) Requirement already satisfied: pyparsing in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from rdflib) (3.0.9) Requirement already satisfied: setuptools in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from rdflib) (61.2.0) Collecting isodate Downloading isodate-0.6.1-py2.py3-none-any.whl (41 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 41.7/41.7 kB 8.5 MB/s eta 0:00:00 Requirement already satisfied: scikit-learn>=0.20.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.0.2) Requirement already satisfied: six>=1.12.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.16.0) Requirement already satisfied: outdated>=0.2.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (0.2.1) Requirement already satisfied: tqdm>=4.29.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (4.64.0) Requirement already satisfied: torch>=1.6.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.9.0+cpu) Requirement already satisfied: urllib3>=1.24.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from ogb) (1.26.11) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest) (3.8.1) Requirement already satisfied: littleutils in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (0.2.2) Requirement already satisfied: requests in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (2.28.1) Requirement already satisfied: scipy>=1.1.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.7.3) Requirement already satisfied: threadpoolctl>=2.0.0 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (3.1.0) Requirement already satisfied: joblib>=0.11 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from scikit-learn>=0.20.0->ogb) (1.1.0) Requirement already satisfied: charset-normalizer<3,>=2 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2.1.0) Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (3.3) Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from requests->outdated>=0.2.0->ogb) (2022.6.15) Installing collected packages: pyyaml, pydantic, psutil, isodate, rdflib Successfully installed isodate-0.6.1 psutil-5.9.1 pydantic-1.10.1 pyyaml-6.0 rdflib-6.2.0 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4499@2 collecting ... 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-4499@3/third_party/tvm/3rdparty/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/tvm/3rdparty/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/tvm/3rdparty/rang'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/tvm/3rdparty/vta-hw'... PASSED [ 5%] tests/compute/test_data.py::test_reddit ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 776.3/776.3 MB 4.1 MB/s eta 0:00:00 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/python3.7/site-packages (7.1.2) Collecting psutil Downloading psutil-5.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (281 kB) 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%] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 281.4/281.4 kB 8.9 MB/s eta 0:00:00 Collecting pyyaml Downloading PyYAML-6.0-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (596 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 596.3/596.3 kB 27.5 MB/s eta 0:00:00 tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] Collecting outdated>=0.2.0 Using cached outdated-0.2.1-py3-none-any.whl (7.5 kB) Collecting scikit-learn>=0.20.0 Collecting pydantic Downloading pydantic-1.10.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.8 MB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 11.8/11.8 MB 116.4 MB/s eta 0:00:00 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] Using cached scikit_learn-1.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (24.8 MB) Requirement already satisfied: zipp>=0.5 in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from importlib-metadata>=0.12->pytest) (3.8.1) Collecting littleutils Using cached littleutils-0.2.2-py3-none-any.whl Requirement already satisfied: requests in /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages (from outdated>=0.2.0->ogb) (2.28.1) Requirement already satisfied: pandas in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (1.1.5) Collecting rdflib Downloading rdflib-6.2.0-py3-none-any.whl (500 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 500.3/500.3 kB 38.4 MB/s eta 0:00:00 Requirement already satisfied: ogb in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (1.3.3) Collecting filelock Downloading filelock-3.8.0-py3-none-any.whl (10 kB) PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[idtype1] 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It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4499@3 collecting ... run graph store with port 7326 collected 55 items tests/distributed/test_dist_graph_store.py::test_server_client PASSED [ 5%] tests/compute/test_data.py::test_tudataset_regression Converting to homogeneous graph takes 0.004s, peak mem: 1.356 GB Convert a graph into a bidirected graph: 0.005 seconds, peak memory: 1.356 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.356 GB [03:45:16] /root/jenkins/workspace/dgl_PR-4499/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 10000 nodes and 199872 edges into 4 parts and get 56368 edge cuts Metis partitioning: 0.050 seconds, peak memory: 1.356 GB Assigning nodes to METIS partitions takes 0.056s, peak mem: 1.356 GB Save partitions: 0.004 seconds, peak memory: 1.356 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client 0 /root/jenkins/workspace/dgl_PR-4499@3/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_2 start server 0 start graph service on server 0 for part 0 [03:45:17] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:45:17] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21604]... start client 1 [03:45:17] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:45:17] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. start client 2 [03:45:18] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:45:18] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. start client 3 [03:45:19] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:45:19] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:45:20] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:45:20] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 5%] tests/compute/test_data.py::test_data_hash PASSED [ 5%] tests/compute/test_data.py::test_citation_graph Client [1110] waits on 172.17.0.2:42385Client [1098] waits on 172.17.0.2:52813Client [1105] waits on 172.17.0.2:40399 Client [1117] waits on 172.17.0.2:40871 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-4499@3/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-4499@3/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-4499@3/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-4499@3/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[3] in group[0] is exiting... Client[1] in group[0] is exiting... Client[0] in group[0] is exiting... Client[2] in group[0] is exiting... Server (0) shutdown. Server is exiting... clients have terminated PASSED [ 5%] tests/compute/test_data.py::test_gnn_benchmark Converting to homogeneous graph takes 0.003s, peak mem: 1.369 GB Save partitions: 0.007 seconds, peak memory: 1.369 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client 0 [03:45:29] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:45:29] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4499@3/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_1 start server 0 start graph service on server 0 for part 0 [03:45:29] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:45:29] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:15640]... Successfully installed isodate-0.6.1 littleutils-0.2.2 ogb-1.3.4 outdated-0.2.1 pandas-1.1.5 psutil-5.9.1 pydantic-1.10.1 pytz-2022.2.1 pyyaml-6.0 rdflib-6.2.0 scikit-learn-1.0.2 threadpoolctl-3.1.0 torch-1.12.1 WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/mxnet-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4499 collecting ... PASSED [ 5%] tests/compute/test_data.py::test_fraud PASSED [ 5%] tests/compute/test_data.py::test_fakenews Client [1157] waits on 172.17.0.2:44549 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4499@3/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 [ 5%] tests/compute/test_data.py::test_reddit collected 2430 items tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[int32] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_u[int64] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[int32] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_unary_copy_e[int64] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[int32] SKIPPED [ 0%] tests/compute/test_apply_edges_hetero.py::test_binary_op[int64] SKIPPED [ 0%] tests/compute/test_backend.py::test_set_default_backend PASSED [ 0%] tests/compute/test_basics.py::test_compatible PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[int32] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_getter[int64] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[int32] PASSED [ 0%] tests/compute/test_basics.py::test_batch_setter_autograd[int64] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[int32] PASSED [ 0%] tests/compute/test_basics.py::test_apply_nodes[int64] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[int32] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[int64] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[int32] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[int64] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[int32] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[int64] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[int32] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[int64] PASSED [ 0%] tests/compute/test_basics.py::test_dynamic_addition PASSED [ 0%] tests/compute/test_basics.py::test_repr[int32] PASSED [ 0%] tests/compute/test_basics.py::test_repr[int64] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[int32] PASSED [ 1%] tests/compute/test_basics.py::test_local_var[int64] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[int32] PASSED [ 1%] tests/compute/test_basics.py::test_local_scope[int64] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[int32] PASSED [ 1%] tests/compute/test_basics.py::test_isolated_nodes[int64] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[int32] PASSED [ 1%] tests/compute/test_basics.py::test_send_multigraph[int64] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[int32] PASSED [ 1%] tests/compute/test_basics.py::test_issue_1088[int64] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[int32] PASSED [ 1%] tests/compute/test_basics.py::test_degree_bucket_edge_ordering[int64] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[int32] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[int64] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[int32] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch[int64] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[int32] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch1[int64] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[int32] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[int64] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[int32] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[int64] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[int32] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[int64] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[int32] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[int64] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[int32] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batched_edge_ordering[int64] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[int32] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_no_edge[int64] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[int32] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_keeps_empty_data[int64] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[int32] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[int64] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[int32-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[int32-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[int64-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[int64-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[int32] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[int64] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_features[int32] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_features[int64] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_empty_relation[int32] SKIPPED [ 2%] tests/compute/test_batched_heterograph.py::test_empty_relation[int64] SKIPPED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[int32] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[int64] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[int32] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[int64] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[int32] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[int64] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_netypes SKIPPED [ 3%] tests/compute/test_csrmm.py::test_csrmm[float32-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[float32-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[float64-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[float64-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-float32-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-float32-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-float64-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-float64-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-float32-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-float32-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-float64-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-float64-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[float32-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[float32-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[float64-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[float64-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-float32-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-float32-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-float64-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-float64-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-float32-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-float64-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-float64-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-float64-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-float64-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-float64-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[float64-int64] PASSED [ 4%] tests/compute/test_data.py::test_minigc SKIPPED (Datasets don't need...) [ 4%] tests/compute/test_data.py::test_gin SKIPPED (Datasets don't need to...) [ 5%] tests/compute/test_data.py::test_fraud SKIPPED (Datasets don't need ...) [ 5%] tests/compute/test_data.py::test_fakenews SKIPPED (Datasets don't ne...) [ 5%] tests/compute/test_data.py::test_tudataset_regression SKIPPED (Datas...) [ 5%] tests/compute/test_data.py::test_data_hash SKIPPED (Datasets don't n...) [ 5%] tests/compute/test_data.py::test_citation_graph SKIPPED (Datasets do...) [ 5%] tests/compute/test_data.py::test_gnn_benchmark SKIPPED (Datasets don...) [ 5%] tests/compute/test_data.py::test_reddit SKIPPED (Datasets don't need...) [ 5%] tests/compute/test_data.py::test_explain_syn SKIPPED (Datasets don't...) [ 5%] tests/compute/test_data.py::test_wiki_cs SKIPPED (Datasets don't nee...) [ 5%] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) [ 5%] tests/compute/test_data.py::test_flickr SKIPPED (Datasets don't need...) [ 5%] tests/compute/test_data.py::test_extract_archive SKIPPED (Datasets d...) [ 5%] tests/compute/test_data.py::test_csvdataset SKIPPED (Datasets don't ...) [ 5%] tests/compute/test_data.py::test_add_nodepred_split SKIPPED (Dataset...) [ 5%] tests/compute/test_data.py::test_as_nodepred1 SKIPPED (Datasets don'...) [ 5%] tests/compute/test_data.py::test_as_nodepred2 SKIPPED (Datasets don'...) [ 5%] tests/compute/test_data.py::test_as_nodepred_ogb SKIPPED (ogb only s...) [ 5%] tests/compute/test_data.py::test_as_linkpred SKIPPED (Datasets don't...) [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb SKIPPED (ogb only s...) [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset SKIPPED (Dat...) [ 5%] tests/compute/test_data.py::test_as_graphpred SKIPPED (Datasets don'...) [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess SKIPPED (Dat...) [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb SKIPPED (ogb only ...) [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[int32] PASSED [ 6%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[int64] PASSED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int32-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int32-dst-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int64-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int64-dst-g0] SKIPPED [ 6%] tests/compute/test_filter.py::test_graph_filter PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[int32] PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[int64] PASSED [ 6%] tests/compute/test_frame.py::test_column_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_plain PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_dtype PASSED [ 6%] tests/compute/test_generators.py::test_rand_graph SKIPPED (GPU rando...) [ 6%] tests/compute/test_graph.py::test_query PASSED [ 6%] tests/compute/test_graph.py::test_mutation PASSED [ 6%] tests/compute/test_graph.py::test_scipy_adjmat PASSED [ 6%] tests/compute/test_graph.py::test_incmat PASSED [ 6%] tests/compute/test_graph.py::test_find_edges PASSED [ 6%] tests/compute/test_graph.py::test_ismultigraph PASSED [ 6%] tests/compute/test_graph.py::test_hypersparse_query PASSED [ 6%] tests/compute/test_graph.py::test_empty_data_initialized PASSED [ 6%] tests/compute/test_graph.py::test_is_sorted PASSED [ 6%] tests/compute/test_graph.py::test_default_types PASSED [ 6%] tests/compute/test_graph.py::test_formats PASSED [ 7%] tests/compute/test_heterograph.py::test_create[int32] PASSED [ 7%] tests/compute/test_heterograph.py::test_create[int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_create2 PASSED [ 7%] tests/compute/test_heterograph.py::test_query[int32] PASSED [ 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] 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] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device[int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-int32] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g1-int32] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g1-int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_pin_memory_[int32] SKIPPED (...) 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tests/compute/test_heterograph.py::test_adj_sparse[csc-int32] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csc-int64] PASSED [ 10%] tests/compute/test_heterograph.py::test_forking_pickler SKIPPED (MXN...) [ 10%] tests/compute/test_index.py::test_dlpack PASSED [ 10%] 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 Converting to homogeneous graph takes 0.007s, peak mem: 1.372 GB Save partitions: 0.026 seconds, peak memory: 1.372 GB There are 300600 edges in the graph and 0 edge cuts for 1 partitions. start client 0 [03:45:48] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:45:48] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4499@3/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 [03:45:48] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:45:48] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:27168]... Client [1179] waits on 172.17.0.2:50407 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4499@3/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 [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-int32] PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-int64] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[int32] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[int64] PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_id PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_remainder PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_remainder PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_range PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_range PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_support PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[int32] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[int64] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[int32] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[int64] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[int32] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[int64] SKIPPED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[int32] PASSED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[int64] PASSED [ 11%] tests/compute/test_pickle.py::test_pickling_index PASSED [ 11%] tests/compute/test_pickle.py::test_pickling_graph_index PASSED [ 11%] tests/compute/test_pickle.py::test_pickling_graph[g0-int32] SKIPPED [ 11%] tests/compute/test_pickle.py::test_pickling_graph[g0-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-int32] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-int64] SKIPPED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g12-int32] SKIPPED [ 12%] 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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tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g2-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g5-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g5-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g6-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g6-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g0-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g0-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g2-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g2-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g4-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g4-int64] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-int32] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-int64] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-int32] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g6-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g0-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g1-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g2-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g3-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g4-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-int64] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-int32] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-int64] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-int32] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-int64] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g2-int32] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g2-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g3-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g4-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g5-int64] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-int32] PASSED [ 19%] tests/compute/test_readout.py::test_broadcast[g6-int64] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_node_removal[int64] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_node_removal[int64] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_multigraph_edge_removal[int64] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[int64] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[int32] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[int64] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[int32] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[int64] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[int32] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[int64] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[int32] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[int64] PASSED [ 20%] tests/compute/test_sampler.py::test_create_full PASSED [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler_all PASSED [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_prefetch_neighbor_sampler PASSED [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler_all PASSED [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler PASSED [ 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 Converting to homogeneous graph takes 0.007s, peak mem: 1.389 GB Save partitions: 0.028 seconds, peak memory: 1.389 GB There are 300600 edges in the graph and 0 edge cuts for 1 partitions. start client 0 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:46:06] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:46:06] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:15689]... [03:46:06] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:46:06] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 5%] tests/compute/test_data.py::test_tudataset_regression Client [1201] waits on 172.17.0.2:44421 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4499@3/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 [ 5%] tests/compute/test_data.py::test_data_hash PASSED [ 5%] tests/compute/test_data.py::test_citation_graph Converting to homogeneous graph takes 0.003s, peak mem: 1.389 GB Save partitions: 0.006 seconds, peak memory: 1.389 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client[0] for group[0] /root/jenkins/workspace/dgl_PR-4499@3/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 [03:46:14] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:46:14] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:12365]... [03:46:14] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:46:14] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 5%] tests/compute/test_data.py::test_gnn_benchmark Client [1217] waits on 172.17.0.2:57499 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4499@3/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 Converting to homogeneous graph takes 0.004s, peak mem: 1.389 GB Save partitions: 0.008 seconds, peak memory: 1.389 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client[0] for group[0] [03:46:22] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:46:22] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4499@3/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 [03:46:22] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:46:22] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:22039]... PASSED [ 5%] tests/compute/test_data.py::test_reddit PASSED [ 20%] tests/compute/test_sampling.py::test_non_uniform_random_walk[True] SKIPPED [ 20%] tests/compute/test_sampling.py::test_non_uniform_random_walk[False] PASSED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[True] PASSED [ 20%] tests/compute/test_sampling.py::test_uniform_random_walk[False] PASSED [ 20%] tests/compute/test_sampling.py::test_node2vec SKIPPED (GPU random wa...) [ 20%] tests/compute/test_sampling.py::test_pack_traces SKIPPED (GPU pack t...) [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[True] PASSED [ 20%] tests/compute/test_sampling.py::test_pinsage_sampling[False] PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_noprob PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_prob PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_outedge PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk SKIPPED (...) [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge SKIPPED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-coo] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-coo] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-coo] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-out-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[in-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csr] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_sorted_homogeneous[out-csc] SKIPPED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int64] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_homoG[int64] PASSED [ 21%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] PASSED [ 21%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 21%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] SKIPPED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] SKIPPED [ 22%] tests/compute/test_serialize.py::test_serialize_tensors PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_empty_dict PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files1 PASSED [ 22%] tests/compute/test_serialize.py::test_load_old_files2 PASSED [ 22%] tests/compute/test_serialize.py::test_deserialize_old_heterograph_file PASSED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph SKIPPED [ 22%] tests/compute/test_serialize.py::test_serialize_heterograph_s3 SKIPPED [ 22%] tests/compute/test_shared_mem.py::test_single_process[int32] PASSED [ 22%] tests/compute/test_shared_mem.py::test_single_process[int64] PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[int32] PASSED [ 22%] tests/compute/test_shared_mem.py::test_multi_process[int64] PASSED [ 22%] tests/compute/test_shared_mem.py::test_copy_from_gpu PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag[int32] SKIPPED (GPU s...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag[int64] SKIPPED (GPU s...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[int32] SKIPPED [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[int64] SKIPPED [ 22%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp0-g0] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp0-g1] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp3-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp3-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp4-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp5-g0] 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Please use '(str, str, str)'. "Etype with 'str' format is deprecated. Please use '(str, str, str)'.") end Client[0] in group[0] is exiting... Server (0) shutdown. 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[03:46:33] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4499@3/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 [03:46:33] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:46:33] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:18204]... 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PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp2-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp4-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp4-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp1-g0] PASSED [ 51%] 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PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp3-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp3-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp4-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp1-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp3-g1] PASSED [ 52%] 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PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp4-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp0-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp0-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp1-g0] PASSED [ 53%] 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PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-u-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-u-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-u-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-u-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp3-g1] PASSED [ 56%] 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PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp1-g0] PASSED [ 57%] 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PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp3-g1] PASSED [ 58%] 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PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp2-g0] PASSED [ 59%] 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tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp1-g0] PASSED [ 66%] 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PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp3-g1] PASSED [ 67%] 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PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp1-g0] PASSED [ 68%] 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PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-u-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp0-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp1-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp2-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-v-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp2-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp3-g1] PASSED [ 73%] 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PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp2-g0] Client [1249] waits on 172.17.0.2:51573 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4499@3/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 [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-v-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-e-shp3-g0] PASSED [ 81%] 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PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp2-g0] PASSED [ 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 [ 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 [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp3-g1] PASSED [ 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 [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp0-g0] PASSED [ 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 [ 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 [ 90%] 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 [ 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 [ 93%] 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 [ 94%] tests/compute/test_specialization.py::test_v2v_update_all[int64] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[int32] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[int64] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[int32] PASSED [ 95%] tests/compute/test_specialization.py::test_v2v_pull[int64] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[int32] PASSED [ 95%] tests/compute/test_specialization.py::test_update_all_multi_fallback[int64] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[int32] PASSED [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[int64] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[int32] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[int64] PASSED [ 95%] tests/compute/test_subgraph.py::test_edge_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[int32] SKIPPED (M...) [ 95%] tests/compute/test_subgraph.py::test_subgraph_mask[int64] SKIPPED (M...) 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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 (...) [ 96%] tests/compute/test_transform.py::test_partition_with_halo SKIPPED (G...) [ 97%] tests/compute/test_transform.py::test_metis_partition[int32] SKIPPED [ 97%] tests/compute/test_transform.py::test_metis_partition[int64] SKIPPED [ 97%] tests/compute/test_transform.py::test_reorder_nodes SKIPPED (It does...) [ 97%] tests/compute/test_transform.py::test_compact[int32] PASSED [ 97%] tests/compute/test_transform.py::test_compact[int64] PASSED [ 97%] tests/compute/test_transform.py::test_to_simple[int32] SKIPPED (GPU ...) [ 97%] tests/compute/test_transform.py::test_to_simple[int64] SKIPPED (GPU ...) [ 97%] tests/compute/test_transform.py::test_to_block[int32] PASSED [ 97%] tests/compute/test_transform.py::test_to_block[int64] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[int32] Converting to homogeneous graph takes 0.003s, peak mem: 1.389 GB Save partitions: 0.008 seconds, peak memory: 1.389 GB There are 100000 edges in the graph and 0 edge cuts for 1 partitions. start client[0] for group[0] PASSED [ 97%] tests/compute/test_transform.py::test_remove_edges[int64] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[int32] PASSED [ 97%] tests/compute/test_transform.py::test_add_edges[int64] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[int32] PASSED [ 97%] tests/compute/test_transform.py::test_add_nodes[int64] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[int32] PASSED [ 97%] tests/compute/test_transform.py::test_remove_nodes[int64] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[int32] PASSED [ 97%] tests/compute/test_transform.py::test_add_selfloop[int64] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[int32] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[int64] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[int32] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[int64] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[int32] PASSED [ 98%] tests/compute/test_transform.py::test_norm_by_dst[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[int32] [03:46:44] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:46:44] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4499@3/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 [03:46:44] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:46:44] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:25708]... PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[int32] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_to_simple[int64] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_line_graph[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[int32] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[int64] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[int32] SKIPPED (Onl...) 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[ 99%] tests/compute/test_transform.py::test_module_node_shuffle[int32] PASSED [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[int64] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[int32] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_node[int64] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[int32] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[int64] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_add_edge[int32] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[int64] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[int32] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[int64] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[int32] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[int64] PASSED [ 99%] tests/compute/test_transform.py::test_module_sign[g0] SKIPPED (Only ...) [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[int32] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[int64] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[int32] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[int64] SKIPPED [ 99%] tests/compute/test_traversal.py::test_bfs[int32] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[int64] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[int32] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[int64] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[int32] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[int64] PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1741 /root/jenkins/workspace/dgl_PR-4499/python/dgl/backend/backend.py:1741: DeprecationWarning: invalid escape sequence \P """ ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/utils.py:37 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/utils.py:37: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations bool = onp.bool ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:143 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:143: DeprecationWarning: In accordance with NEP 32, the function mirr was removed from NumPy version 1.20. A replacement for this function is available in the numpy_financial library: https://pypi.org/project/numpy-financial mirr = onp.mirr ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:160 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:160: DeprecationWarning: In accordance with NEP 32, the function npv was removed from NumPy version 1.20. A replacement for this function is available in the numpy_financial library: https://pypi.org/project/numpy-financial npv = onp.npv ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:164 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:164: DeprecationWarning: In accordance with NEP 32, the function pmt was removed from NumPy version 1.20. A replacement for this function is available in the numpy_financial library: https://pypi.org/project/numpy-financial pmt = onp.pmt ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:173 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:173: DeprecationWarning: In accordance with NEP 32, the function ppmt was removed from NumPy version 1.20. A replacement for this function is available in the numpy_financial library: https://pypi.org/project/numpy-financial ppmt = onp.ppmt ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:176 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:176: DeprecationWarning: In accordance with NEP 32, the function pv was removed from NumPy version 1.20. A replacement for this function is available in the numpy_financial library: https://pypi.org/project/numpy-financial pv = onp.pv ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:177 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:177: DeprecationWarning: In accordance with NEP 32, the function rate was removed from NumPy version 1.20. A replacement for this function is available in the numpy_financial library: https://pypi.org/project/numpy-financial rate = onp.rate ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:48 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:48: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. cur_np_ver = LooseVersion(_np.__version__) ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:49 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:49: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. np_1_17_ver = LooseVersion('1.17') ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:68 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:68: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. cur_np_ver = LooseVersion(_np.__version__) ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:69 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:69: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. np_1_15_ver = LooseVersion('1.15') python/dgl/backend/mxnet/tensor.py:15 python/dgl/backend/mxnet/tensor.py:15 /root/jenkins/workspace/dgl_PR-4499/python/dgl/backend/mxnet/tensor.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(mx.__version__) < LooseVersion("1.6.0"): python/dgl/backend/mxnet/tensor.py:31 /root/jenkins/workspace/dgl_PR-4499/python/dgl/backend/mxnet/tensor.py:31: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations 'bool' : np.bool} # mxnet does not support bool python/dgl/backend/mxnet/tensor.py:37: 202 warnings tests/compute/test_basics.py: 229 warnings tests/compute/test_batched_graph.py: 432 warnings tests/compute/test_batched_heterograph.py: 310 warnings tests/compute/test_csrmm.py: 332 warnings tests/compute/test_dataloader.py: 50 warnings tests/compute/test_filter.py: 22 warnings tests/compute/test_frame.py: 8 warnings tests/compute/test_graph.py: 1626 warnings tests/compute/test_heterograph.py: 4400 warnings tests/compute/test_index.py: 1 warning tests/compute/test_kernel.py: 2511 warnings tests/compute/test_merge.py: 12 warnings tests/compute/test_nccl.py: 2 warnings tests/compute/test_new_update_all_hetero.py: 56 warnings tests/compute/test_partition.py: 22 warnings tests/compute/test_pickle.py: 16 warnings tests/compute/test_readout.py: 844 warnings tests/compute/test_removal.py: 838 warnings tests/compute/test_sampler.py: 167 warnings tests/compute/test_sampling.py: 2737 warnings tests/compute/test_serialize.py: 2 warnings tests/compute/test_shared_mem.py: 40 warnings tests/compute/test_sparse.py: 2564 warnings tests/compute/test_specialization.py: 598 warnings tests/compute/test_subgraph.py: 666 warnings tests/compute/test_transform.py: 1796 warnings tests/compute/test_traversal.py: 792 warnings /root/jenkins/workspace/dgl_PR-4499/python/dgl/backend/mxnet/tensor.py:37: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations if dtype == np.bool: python/dgl/backend/mxnet/tensor.py:136: 174 warnings tests/compute/test_basics.py: 225 warnings tests/compute/test_batched_graph.py: 396 warnings tests/compute/test_batched_heterograph.py: 204 warnings tests/compute/test_dataloader.py: 16 warnings tests/compute/test_filter.py: 8 warnings tests/compute/test_frame.py: 1 warning tests/compute/test_graph.py: 2377 warnings tests/compute/test_heterograph.py: 5192 warnings tests/compute/test_index.py: 1 warning tests/compute/test_kernel.py: 2050 warnings tests/compute/test_merge.py: 16 warnings tests/compute/test_new_update_all_hetero.py: 56 warnings tests/compute/test_pickle.py: 24 warnings tests/compute/test_readout.py: 1416 warnings tests/compute/test_removal.py: 662 warnings tests/compute/test_sampling.py: 5106 warnings tests/compute/test_shared_mem.py: 40 warnings tests/compute/test_sparse.py: 2 warnings tests/compute/test_specialization.py: 588 warnings tests/compute/test_subgraph.py: 354 warnings tests/compute/test_transform.py: 896 warnings tests/compute/test_traversal.py: 1563 warnings /root/jenkins/workspace/dgl_PR-4499/python/dgl/backend/mxnet/tensor.py:136: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations if ty == np.bool: ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _nlv = LooseVersion(_np_version) ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p16 = _nlv < LooseVersion("1.16") ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p17 = _nlv < LooseVersion("1.17") ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p18 = _nlv < LooseVersion("1.18") ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p19 = _nlv < LooseVersion("1.19") ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p20 = _nlv < LooseVersion("1.20") ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(_np_version) >= LooseVersion("1.17.0"): tests/compute/test_basics.py: 2 warnings tests/compute/test_filter.py: 1 warning tests/compute/test_graph.py: 9 warnings tests/compute/test_kernel.py: 3 warnings tests/compute/test_removal.py: 16 warnings tests/compute/test_specialization.py: 12 warnings tests/compute/test_subgraph.py: 2 warnings tests/compute/test_transform.py: 6 warnings tests/compute/test_traversal.py: 2 warnings /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly', 'sort_csr'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_heterograph.py: 352 warnings tests/compute/test_kernel.py: 1766 warnings tests/compute/test_new_update_all_hetero.py: 56 warnings tests/compute/test_readout.py: 144 warnings tests/compute/test_removal.py: 8 warnings tests/compute/test_sampler.py: 22 warnings tests/compute/test_sampling.py: 12 warnings tests/compute/test_sparse.py: 2560 warnings tests/compute/test_subgraph.py: 10 warnings tests/compute/test_transform.py: 52 warnings /root/jenkins/workspace/dgl_PR-4499/python/dgl/backend/mxnet/tensor.py:50: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations dtype = np.int32 if data.dtype == np.bool else data.dtype tests/compute/test_heterograph.py: 20 warnings /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/pytest_compute.xml -- ============================ slowest 100 durations ============================= 20.60s call tests/compute/test_sampler.py::test_negative_sampler 9.11s call tests/compute/test_kernel.py::test_all_binary_builtins 1.23s call tests/compute/test_graph.py::test_query 0.93s call tests/compute/test_sampling.py::test_non_uniform_random_walk[False] 0.71s call tests/compute/test_heterograph.py::test_query[int32] 0.68s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 0.67s call tests/compute/test_heterograph.py::test_query[int64] 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 0.37s call tests/compute/test_basics.py::test_compatible 0.34s call tests/compute/test_basics.py::test_batch_setter_getter[int32] 0.32s call tests/compute/test_traversal.py::test_bfs[int64] 0.32s call tests/compute/test_heterograph.py::test_view1[int32] 0.30s call tests/compute/test_traversal.py::test_bfs[int32] 0.29s 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 0.18s call tests/compute/test_transform.py::test_module_add_self_loop[int32] 0.18s call tests/compute/test_heterograph.py::test_updates[int32] 0.18s call tests/compute/test_heterograph.py::test_updates[int64] 0.16s call tests/compute/test_removal.py::test_node_and_edge_removal[int32] 0.16s call tests/compute/test_removal.py::test_node_and_edge_removal[int64] 0.15s call tests/compute/test_sampler.py::test_prefetch_neighbor_sampler 0.14s call tests/compute/test_serialize.py::test_load_old_files1 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_heterograph.py::test_format[int32] 0.12s call tests/compute/test_sampler.py::test_10neighbor_sampler 0.12s call tests/compute/test_heterograph.py::test_subgraph[int64] 0.12s call tests/compute/test_heterograph.py::test_format[int64] 0.12s call tests/compute/test_transform.py::test_remove_nodes[int64] 0.11s call tests/compute/test_heterograph.py::test_level2[int64] 0.11s call tests/compute/test_heterograph.py::test_level2[int32] 0.11s call tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g4-int32] 0.11s call tests/compute/test_specialization.py::test_v2v_snr[int32] 0.11s call tests/compute/test_transform.py::test_remove_edges[int32] 0.11s call tests/compute/test_shared_mem.py::test_multi_process[int32] 0.11s call tests/compute/test_specialization.py::test_v2v_snr[int64] 0.10s call tests/compute/test_shared_mem.py::test_copy_from_gpu 0.10s call tests/compute/test_shared_mem.py::test_multi_process[int64] 0.10s call tests/compute/test_specialization.py::test_v2v_pull[int32] 0.10s call tests/compute/test_specialization.py::test_v2v_pull[int64] 0.10s call tests/compute/test_transform.py::test_remove_edges[int64] 0.10s call tests/compute/test_sampler.py::test_1neighbor_sampler_all 0.09s call tests/compute/test_specialization.py::test_pull_multi_fallback[int32] 0.08s call tests/compute/test_specialization.py::test_pull_multi_fallback[int64] 0.08s call tests/compute/test_heterograph.py::test_flatten[int32] 0.08s call tests/compute/test_heterograph.py::test_convert[int32] 0.08s call tests/compute/test_specialization.py::test_v2v_update_all[int32] 0.07s call tests/compute/test_heterograph.py::test_convert[int64] 0.07s call tests/compute/test_heterograph.py::test_flatten[int64] 0.07s call tests/compute/test_specialization.py::test_v2v_update_all[int64] 0.06s call tests/compute/test_subgraph.py::test_subgraph1[int32] 0.06s call tests/compute/test_transform.py::test_add_edges[int64] 0.06s call tests/compute/test_transform.py::test_add_edges[int32] 0.06s call tests/compute/test_heterograph.py::test_float_cast 0.06s call tests/compute/test_subgraph.py::test_subgraph1[int64] 0.05s call tests/compute/test_sampler.py::test_layer_sampler 0.05s call tests/compute/test_specialization.py::test_spmv_3d_feat[int64] 0.05s call tests/compute/test_heterograph.py::test_add_edges[int32] 0.05s call tests/compute/test_heterograph.py::test_add_edges[int64] 0.05s call tests/compute/test_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_nccl.py::test_nccl_sparse_push_single_remainder 0.05s call tests/compute/test_heterograph.py::test_remove_nodes[int32] 0.05s call tests/compute/test_heterograph.py::test_remove_nodes[int64] 0.05s call tests/compute/test_transform.py::test_add_selfloop[int32] 0.05s call tests/compute/test_heterograph.py::test_types_in_function[int64] 0.05s call tests/compute/test_removal.py::test_edge_removal[int32] 0.05s call tests/compute/test_transform.py::test_add_selfloop[int64] 0.04s call tests/compute/test_removal.py::test_edge_removal[int64] 0.04s call tests/compute/test_transform.py::test_add_reverse_edges 0.04s call tests/compute/test_subgraph.py::test_khop_out_subgraph[int32] 0.04s call tests/compute/test_nccl.py::test_nccl_sparse_pull_single_remainder 0.04s call tests/compute/test_subgraph.py::test_khop_out_subgraph[int64] 0.04s call tests/compute/test_specialization.py::test_update_all_multi_fallback[int32] 0.04s call tests/compute/test_specialization.py::test_update_all_multi_fallback[int64] 0.04s call tests/compute/test_batched_heterograph.py::test_slice_batch[int64] 0.04s call tests/compute/test_subgraph.py::test_khop_in_subgraph[int32] 0.04s call tests/compute/test_batched_heterograph.py::test_slice_batch[int32] 0.04s call tests/compute/test_nccl.py::test_nccl_sparse_pull_single_range 0.04s call tests/compute/test_batched_graph.py::test_batch_propagate[int32] 0.04s call tests/compute/test_heterograph.py::test_create[int32] 0.04s call tests/compute/test_heterograph.py::test_create[int64] 0.04s call tests/compute/test_batched_graph.py::test_batch_propagate[int64] 0.04s call tests/compute/test_sampling.py::test_pinsage_sampling[True] 0.04s call tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-int32] 0.04s call tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp0-g0] 0.03s call tests/compute/test_readout.py::test_weighted_reduce_readout[max-g5-int64] 0.03s call tests/compute/test_basics.py::test_update_routines[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[int32] 0.03s call tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-int64] 0.03s call tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-int32] 0.03s call tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler 0.03s call tests/compute/test_transform.py::test_reverse[int32] ========= 2227 passed, 203 skipped, 48139 warnings in 75.64s (0:01:15) ========= Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/mxnet-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4499 collecting ... Client [1268] waits on 172.17.0.2:38439 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4499@3/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 collected 806 items tests/mxnet/test_geometry.py::test_fps PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv[1-int32] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv[1-int64] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv[2-int32] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv[2-int64] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g0-int32] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g0-int64] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g1-int32] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g1-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g2-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g2-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g3-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g3-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g4-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g4-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g5-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g5-int64] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g6-int32] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g6-int64] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g0-int32] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g0-int64] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g1-int32] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g1-int64] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g2-int32] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g2-int64] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g3-int32] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g3-int64] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g4-int32] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g4-int64] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g5-int32] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g5-int64] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g6-int32] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g6-int64] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g0-int32] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g0-int64] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g1-int32] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g1-int64] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g2-int32] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g2-int64] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g3-int32] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g3-int64] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g4-int32] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g4-int64] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g5-int32] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g5-int64] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g6-int32] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g6-int64] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g0-int32] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g0-int64] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g1-int32] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g1-int64] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g2-int32] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g2-int64] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g3-int32] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g3-int64] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g4-int32] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g4-int64] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g5-int32] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g5-int64] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g6-int32] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g6-int64] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g0-int32] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g0-int64] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g1-int32] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g1-int64] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g2-int32] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g2-int64] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g3-int32] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g3-int64] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g4-int32] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g4-int64] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g5-int32] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g5-int64] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g6-int32] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g6-int64] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g0-int32] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g0-int64] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g1-int32] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g1-int64] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g2-int32] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g2-int64] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g3-int32] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g3-int64] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g4-int32] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g4-int64] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g5-int32] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g5-int64] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g6-int32] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g6-int64] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g0-int32] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g0-int64] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g1-int32] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g1-int64] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g2-int32] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g2-int64] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g3-int32] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g3-int64] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g4-int32] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g4-int64] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g5-int32] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g5-int64] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g6-int32] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g6-int64] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g0-int32] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g0-int64] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g1-int32] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g1-int64] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g2-int32] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g2-int64] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g3-int32] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g3-int64] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g4-int32] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g4-int64] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g5-int32] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g5-int64] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g6-int32] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g6-int64] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g0-int32] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g0-int64] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g1-int32] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g1-int64] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g2-int32] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g2-int64] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g3-int32] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g3-int64] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g4-int32] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g4-int64] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g5-int32] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g5-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g6-int32] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g6-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g0-int32] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g0-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g1-int32] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g1-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g2-int32] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g2-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g3-int32] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g3-int64] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g4-int32] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g4-int64] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g5-int32] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g5-int64] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g6-int32] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g6-int64] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g0-int32] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g0-int64] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g1-int32] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g1-int64] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g2-int32] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g2-int64] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g3-int32] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g3-int64] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g4-int32] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g4-int64] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g5-int32] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g5-int64] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g6-int32] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g6-int64] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g0-int32] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g0-int64] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g1-int32] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g1-int64] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g2-int32] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g2-int64] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g3-int32] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g3-int64] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g4-int32] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g4-int64] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g5-int32] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g5-int64] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g6-int32] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g6-int64] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g0-int32] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g0-int64] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g1-int32] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g1-int64] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g2-int32] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g2-int64] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g3-int32] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g3-int64] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g4-int32] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g4-int64] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g5-int32] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g5-int64] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g6-int32] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g6-int64] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g0-int32] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g0-int64] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g1-int32] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g1-int64] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g2-int32] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g2-int64] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g3-int32] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g3-int64] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g4-int32] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g4-int64] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g5-int32] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g5-int64] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g6-int32] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g6-int64] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g0-int32] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g0-int64] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g1-int32] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g1-int64] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g2-int32] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g2-int64] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g3-int32] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g3-int64] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g4-int32] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g4-int64] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g5-int32] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g5-int64] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g6-int32] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g6-int64] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g0-int32] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g0-int64] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g1-int32] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g1-int64] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g2-int32] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g2-int64] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g3-int32] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g3-int64] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g4-int32] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g4-int64] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g5-int32] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g5-int64] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g6-int32] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g6-int64] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-int32] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-int64] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-int32] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-int64] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-int32] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-int64] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-int32] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-int64] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-int32] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-int64] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-int32] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-int64] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-int32] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-int64] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-int32] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-int64] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-int32] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-int64] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-int32] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-int64] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-int32] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-int64] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-int32] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-int64] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-int32] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-int64] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-int32] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-int64] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-int32] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-int64] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-int32] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-int64] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-int32] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-int64] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-int32] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-int64] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-int64] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-none-g1-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-none-g1-int64] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-both-g0-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-both-g0-int64] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-both-g1-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-both-g1-int64] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-right-g0-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-right-g0-int64] PASSED [ 34%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-right-g1-int32] PASSED [ 34%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-right-g1-int64] PASSED [ 34%] tests/mxnet/test_nn.py::test_tagconv[1] PASSED [ 34%] tests/mxnet/test_nn.py::test_tagconv[2] PASSED [ 34%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g0-int32] PASSED [ 34%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g0-int64] PASSED [ 34%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int32] PASSED [ 34%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int64] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g2-int32] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g2-int64] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g3-int32] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g3-int64] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g4-int32] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g4-int64] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g5-int32] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g5-int64] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g6-int32] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g6-int64] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g0-int32] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g0-int64] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g1-int32] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g1-int64] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g2-int32] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g2-int64] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g3-int32] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g3-int64] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g4-int32] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g4-int64] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g5-int32] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g5-int64] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g6-int32] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g6-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g0-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g0-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g1-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g1-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g3-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g3-int64] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g4-int32] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g4-int64] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int32] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int64] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g6-int32] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g6-int64] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g0-int32] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g0-int64] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g1-int32] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g1-int64] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g2-int32] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g2-int64] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g3-int32] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g3-int64] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g4-int32] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g4-int64] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g5-int32] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g5-int64] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g6-int32] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g6-int64] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g0-int32] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g0-int64] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g1-int32] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g1-int64] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g0-int32] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g0-int64] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g1-int32] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g1-int64] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g0-int32] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g0-int64] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g1-int32] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g1-int64] PASSED [ 43%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g0-int32] PASSED [ 43%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g0-int64] PASSED [ 43%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g1-int32] PASSED [ 43%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g1-int64] PASSED [ 43%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g0-int32] PASSED [ 43%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g0-int64] PASSED [ 43%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g1-int32] PASSED [ 43%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g1-int64] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g2-int32] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g2-int64] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g3-int32] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g3-int64] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g4-int32] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g4-int64] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g5-int32] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g5-int64] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g6-int32] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g6-int64] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g7-int32] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g7-int64] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g0-int32] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g0-int64] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g1-int32] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g1-int64] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g2-int32] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g2-int64] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g3-int32] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g3-int64] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g4-int32] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g4-int64] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g5-int32] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g5-int64] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g6-int32] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g6-int64] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g7-int32] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g7-int64] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g0-int32] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g0-int64] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g1-int32] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g1-int64] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g2-int32] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g2-int64] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g3-int32] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g3-int64] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g4-int32] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g4-int64] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g5-int32] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g5-int64] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g6-int32] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g6-int64] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g7-int32] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g7-int64] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g0-int32] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g0-int64] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g1-int32] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g1-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g2-int32] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g2-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g3-int32] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g3-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g4-int32] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g4-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g5-int32] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g5-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g6-int32] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g6-int64] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g7-int32] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g7-int64] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g0-int32] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g0-int64] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g1-int32] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g1-int64] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g2-int32] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g2-int64] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g3-int32] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g3-int64] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g4-int32] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g4-int64] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g5-int32] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g5-int64] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g6-int32] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g6-int64] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g7-int32] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g7-int64] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g0-int32] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g0-int64] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g1-int32] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g1-int64] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g2-int32] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g2-int64] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g3-int32] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g3-int64] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g4-int32] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g4-int64] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g5-int32] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g5-int64] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g6-int32] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g6-int64] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g7-int32] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g7-int64] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g0-int32] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g0-int64] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g1-int32] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g1-int64] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g2-int32] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g2-int64] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g0-int32] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g0-int64] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g1-int32] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g1-int64] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g2-int32] Converting to homogeneous graph takes 0.004s, peak mem: 1.389 GB Save partitions: 0.006 seconds, peak memory: 1.389 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 [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g2-int64] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g0-int32] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g0-int64] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g1-int32] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g1-int64] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g2-int32] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g2-int64] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-mean-g0-int32] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-mean-g0-int64] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-mean-g1-int32] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-mean-g1-int64] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-mean-g2-int32] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-mean-g2-int64] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-pool-g0-int32] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-pool-g0-int64] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-pool-g1-int32] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-pool-g1-int64] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-pool-g2-int32] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-pool-g2-int64] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-gcn-g0-int32] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-gcn-g0-int64] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-gcn-g1-int32] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-gcn-g1-int64] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-gcn-g2-int32] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-gcn-g2-int64] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi2[1-mean-int32] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[1-mean-int64] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[1-pool-int32] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[1-pool-int64] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[1-gcn-int32] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[1-gcn-int64] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[2-mean-int32] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[2-mean-int64] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[2-pool-int32] PASSED [ 61%] tests/mxnet/test_nn.py::test_sage_conv_bi2[2-pool-int64] PASSED [ 61%] tests/mxnet/test_nn.py::test_sage_conv_bi2[2-gcn-int32] PASSED [ 61%] tests/mxnet/test_nn.py::test_sage_conv_bi2[2-gcn-int64] PASSED [ 61%] tests/mxnet/test_nn.py::test_gg_conv PASSED [ 61%] tests/mxnet/test_nn.py::test_cheb_conv[1] PASSED [ 61%] tests/mxnet/test_nn.py::test_cheb_conv[20] PASSED [ 61%] tests/mxnet/test_nn.py::test_agnn_conv[g0-int32] PASSED [ 61%] tests/mxnet/test_nn.py::test_agnn_conv[g0-int64] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g1-int32] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g1-int64] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g2-int32] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g2-int64] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g3-int32] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g3-int64] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g4-int32] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g4-int64] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv[g5-int32] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv[g5-int64] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv[g6-int32] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv[g6-int64] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv_bi[g0-int32] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv_bi[g0-int64] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv_bi[g1-int32] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv_bi[g1-int64] PASSED [ 64%] tests/mxnet/test_nn.py::test_appnp_conv PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_cheb_conv[1] PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_cheb_conv[2] PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-both-int32] PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-both-int64] PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-right-int32] PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-right-int64] PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-none-int32] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-none-int64] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-both-int32] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-both-int64] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-right-int32] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-right-int64] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-none-int32] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-none-int64] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-both-int32] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-both-int64] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-right-int32] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-right-int64] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-none-int32] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-none-int64] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-both-int32] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-both-int64] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-right-int32] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-right-int64] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-none-int32] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-none-int64] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-both-int32] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-both-int64] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-right-int32] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-right-int64] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-none-int32] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-none-int64] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-both-int32] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-both-int64] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-right-int32] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-right-int64] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-none-int32] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-none-int64] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-both-int32] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-both-int64] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-right-int32] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-right-int64] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-none-int32] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-none-int64] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-both-int32] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-both-int64] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-right-int32] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-right-int64] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-none-int32] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-none-int64] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-both-int32] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-both-int64] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-right-int32] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-right-int64] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-none-int32] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-none-int64] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-both-int32] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-both-int64] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-right-int32] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-right-int64] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-none-int32] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-none-int64] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-both-int32] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-both-int64] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-right-int32] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-right-int64] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-none-int32] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-none-int64] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-both-int32] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-both-int64] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-right-int32] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-right-int64] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-none-int32] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-none-int64] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-both-int32] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-both-int64] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-right-int32] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-right-int64] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-none-int32] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-none-int64] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-both-int32] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-both-int64] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-right-int32] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-right-int64] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-none-int32] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-none-int64] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g0-int32] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g0-int64] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g1-int32] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g1-int64] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g2-int32] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g2-int64] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g3-int32] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g3-int64] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g4-int32] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g4-int64] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g5-int32] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g5-int64] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g6-int32] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g6-int64] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g7-int32] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g7-int64] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g8-int32] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g8-int64] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g9-int32] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g9-int64] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g0-int32] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g0-int64] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g1-int32] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g1-int64] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g2-int32] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g2-int64] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g3-int32] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g3-int64] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g4-int32] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g4-int64] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g5-int32] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g5-int64] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g6-int32] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g6-int64] PASSED [ 79%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g7-int32] PASSED [ 79%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g7-int64] PASSED [ 79%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g8-int32] PASSED [ 79%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g8-int64] PASSED [ 79%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g9-int32] PASSED [ 79%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g9-int64] PASSED [ 79%] tests/mxnet/test_nn.py::test_edge_conv[1-g0-int32] PASSED [ 79%] tests/mxnet/test_nn.py::test_edge_conv[1-g0-int64] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g1-int32] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g1-int64] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g2-int32] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g2-int64] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g3-int32] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g3-int64] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g4-int32] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g4-int64] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[1-g5-int32] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[1-g5-int64] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[1-g6-int32] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[1-g6-int64] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[2-g0-int32] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[2-g0-int64] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[2-g1-int32] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[2-g1-int64] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g2-int32] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g2-int64] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g3-int32] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g3-int64] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g4-int32] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g4-int64] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g5-int32] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g5-int64] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv[2-g6-int32] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv[2-g6-int64] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[1-g0-int32] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[1-g0-int64] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[1-g1-int32] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[1-g1-int64] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[2-g0-int32] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[2-g0-int64] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[2-g1-int32] PASSED [ 84%] tests/mxnet/test_nn.py::test_edge_conv_bi[2-g1-int64] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g0-int32] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g0-int64] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g1-int32] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g1-int64] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g2-int32] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g2-int64] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g3-int32] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g3-int64] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g4-int32] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g4-int64] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g5-int32] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g5-int64] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g6-int32] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g6-int64] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g7-int32] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[mean-g7-int64] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g0-int32] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g0-int64] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g1-int32] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g1-int64] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g2-int32] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g2-int64] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g3-int32] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g3-int64] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g4-int32] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g4-int64] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g5-int32] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g5-int64] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g6-int32] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g6-int64] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g7-int32] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[max-g7-int64] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g0-int32] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g0-int64] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g1-int32] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g1-int64] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g2-int32] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g2-int64] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g3-int32] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g3-int64] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g4-int32] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g4-int64] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g5-int32] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g5-int64] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g6-int32] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g6-int64] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g7-int32] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv[sum-g7-int64] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g0-int32] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g0-int64] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g1-int32] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g1-int64] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g2-int32] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g2-int64] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[max-g0-int32] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[max-g0-int64] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[max-g1-int32] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[max-g1-int64] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[max-g2-int32] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[max-g2-int64] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[sum-g0-int32] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[sum-g0-int64] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[sum-g1-int32] PASSED [ 92%] tests/mxnet/test_nn.py::test_gin_conv_bi[sum-g1-int64] PASSED [ 92%] tests/mxnet/test_nn.py::test_gin_conv_bi[sum-g2-int32] PASSED [ 92%] tests/mxnet/test_nn.py::test_gin_conv_bi[sum-g2-int64] PASSED [ 92%] tests/mxnet/test_nn.py::test_gmm_conv[g0-int32] PASSED [ 92%] tests/mxnet/test_nn.py::test_gmm_conv[g0-int64] PASSED [ 92%] tests/mxnet/test_nn.py::test_gmm_conv[g1-int32] PASSED [ 92%] tests/mxnet/test_nn.py::test_gmm_conv[g1-int64] PASSED [ 92%] tests/mxnet/test_nn.py::test_gmm_conv[g2-int32] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g2-int64] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g3-int32] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g3-int64] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g4-int32] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g4-int64] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g5-int32] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g5-int64] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g6-int32] PASSED [ 94%] tests/mxnet/test_nn.py::test_gmm_conv[g6-int64] PASSED [ 94%] tests/mxnet/test_nn.py::test_gmm_conv_bi[g0-int32] PASSED [ 94%] tests/mxnet/test_nn.py::test_gmm_conv_bi[g0-int64] PASSED [ 94%] tests/mxnet/test_nn.py::test_gmm_conv_bi[g1-int32] PASSED [ 94%] tests/mxnet/test_nn.py::test_gmm_conv_bi[g1-int64] PASSED [ 94%] tests/mxnet/test_nn.py::test_nn_conv[g0-int32] PASSED [ 94%] tests/mxnet/test_nn.py::test_nn_conv[g0-int64] PASSED [ 94%] tests/mxnet/test_nn.py::test_nn_conv[g1-int32] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g1-int64] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g2-int32] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g2-int64] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g3-int32] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g3-int64] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g4-int32] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g4-int64] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g5-int32] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv[g5-int64] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv[g6-int32] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv[g6-int64] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv[g7-int32] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv[g7-int64] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv_bi[g0-int32] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv_bi[g0-int64] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv_bi[g1-int32] PASSED [ 97%] tests/mxnet/test_nn.py::test_nn_conv_bi[g1-int64] PASSED [ 97%] tests/mxnet/test_nn.py::test_nn_conv_bi[g2-int32] PASSED [ 97%] tests/mxnet/test_nn.py::test_nn_conv_bi[g2-int64] PASSED [ 97%] tests/mxnet/test_nn.py::test_sg_conv[1] PASSED [ 97%] tests/mxnet/test_nn.py::test_sg_conv[2] PASSED [ 97%] tests/mxnet/test_nn.py::test_set2set PASSED [ 97%] tests/mxnet/test_nn.py::test_glob_att_pool PASSED [ 97%] tests/mxnet/test_nn.py::test_simple_pool PASSED [ 98%] tests/mxnet/test_nn.py::test_rgcn[1] PASSED [ 98%] tests/mxnet/test_nn.py::test_rgcn[2] PASSED [ 98%] tests/mxnet/test_nn.py::test_rgcn[8] PASSED [ 98%] tests/mxnet/test_nn.py::test_sequential PASSED [ 98%] tests/mxnet/test_nn.py::test_hetero_conv[sum-int32] PASSED [ 98%] tests/mxnet/test_nn.py::test_hetero_conv[sum-int64] PASSED [ 98%] tests/mxnet/test_nn.py::test_hetero_conv[max-int32] PASSED [ 98%] tests/mxnet/test_nn.py::test_hetero_conv[max-int64] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[min-int32] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[min-int64] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[mean-int32] PASSED [ 5%] tests/compute/test_data.py::test_explain_syn PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[mean-int64] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[stack-int32] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[stack-int64] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[myagg-int32] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[myagg-int64] PASSED [100%] =============================== warnings summary =============================== ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/utils.py:37 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/utils.py:37: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations bool = onp.bool ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:143 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:143: DeprecationWarning: In accordance with NEP 32, the function mirr was removed from NumPy version 1.20. A replacement for this function is available in the numpy_financial library: https://pypi.org/project/numpy-financial mirr = onp.mirr ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:160 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:160: DeprecationWarning: In accordance with NEP 32, the function npv was removed from NumPy version 1.20. A replacement for this function is available in the numpy_financial library: https://pypi.org/project/numpy-financial npv = onp.npv ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:164 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:164: DeprecationWarning: In accordance with NEP 32, the function pmt was removed from NumPy version 1.20. A replacement for this function is available in the numpy_financial library: https://pypi.org/project/numpy-financial pmt = onp.pmt ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:173 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:173: DeprecationWarning: In accordance with NEP 32, the function ppmt was removed from NumPy version 1.20. A replacement for this function is available in the numpy_financial library: https://pypi.org/project/numpy-financial ppmt = onp.ppmt ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:176 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:176: DeprecationWarning: In accordance with NEP 32, the function pv was removed from NumPy version 1.20. A replacement for this function is available in the numpy_financial library: https://pypi.org/project/numpy-financial pv = onp.pv ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:177 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy/fallback.py:177: DeprecationWarning: In accordance with NEP 32, the function rate was removed from NumPy version 1.20. A replacement for this function is available in the numpy_financial library: https://pypi.org/project/numpy-financial rate = onp.rate ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:48 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:48: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. cur_np_ver = LooseVersion(_np.__version__) ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:49 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:49: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. np_1_17_ver = LooseVersion('1.17') ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:68 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:68: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. cur_np_ver = LooseVersion(_np.__version__) ../../../../opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:69 /opt/conda/envs/mxnet-ci/lib/python3.7/site-packages/mxnet/numpy_dispatch_protocol.py:69: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. np_1_15_ver = LooseVersion('1.15') python/dgl/backend/mxnet/tensor.py:15 python/dgl/backend/mxnet/tensor.py:15 /root/jenkins/workspace/dgl_PR-4499/python/dgl/backend/mxnet/tensor.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(mx.__version__) < LooseVersion("1.6.0"): python/dgl/backend/mxnet/tensor.py:31 /root/jenkins/workspace/dgl_PR-4499/python/dgl/backend/mxnet/tensor.py:31: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations 'bool' : np.bool} # mxnet does not support bool python/dgl/backend/mxnet/tensor.py:37: 290 warnings tests/mxnet/test_nn.py: 388 warnings /root/jenkins/workspace/dgl_PR-4499/python/dgl/backend/mxnet/tensor.py:37: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations if dtype == np.bool: python/dgl/backend/mxnet/tensor.py:136: 230 warnings tests/mxnet/test_nn.py: 464 warnings /root/jenkins/workspace/dgl_PR-4499/python/dgl/backend/mxnet/tensor.py:136: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations if ty == np.bool: tests/mxnet/test_nn.py::test_cheb_conv[1] tests/mxnet/test_nn.py::test_cheb_conv[20] /root/jenkins/workspace/dgl_PR-4499/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-4499/pytest_backend.xml -- ============================ slowest 100 durations ============================= 0.35s call tests/mxnet/test_nn.py::test_graph_conv[1-int32] 0.33s call tests/mxnet/test_geometry.py::test_fps 0.08s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g5-int64] 0.06s call tests/mxnet/test_nn.py::test_hetero_conv[sum-int32] 0.05s call tests/mxnet/test_nn.py::test_hetero_conv[myagg-int64] 0.05s call tests/mxnet/test_nn.py::test_hetero_conv[mean-int32] 0.05s call tests/mxnet/test_nn.py::test_hetero_conv[max-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[min-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[mean-int64] 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[stack-int32] 0.05s call tests/mxnet/test_nn.py::test_hetero_conv[stack-int64] 0.03s call tests/mxnet/test_nn.py::test_set2set 0.03s call tests/mxnet/test_nn.py::test_dense_cheb_conv[1] 0.03s call tests/mxnet/test_nn.py::test_dense_cheb_conv[2] 0.03s call tests/mxnet/test_nn.py::test_gg_conv 0.03s call tests/mxnet/test_nn.py::test_graph_conv[1-int64] 0.03s call tests/mxnet/test_nn.py::test_graph_conv[2-int64] 0.03s call tests/mxnet/test_nn.py::test_graph_conv[2-int32] 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-g3-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g3-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g3-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g3-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g3-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g3-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g3-int32] 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[5-20-g6-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g3-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g1-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g1-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g2-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g4-int64] 0.01s call tests/mxnet/test_nn.py::test_rgcn[1] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g2-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g2-int32] 0.01s call tests/mxnet/test_nn.py::test_sequential 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g0-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g1-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g0-int64] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-mean-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g2-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g4-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g2-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g1-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g6-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g5-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g6-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g5-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g4-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[1-20-g0-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g0-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g6-int64] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-mean-int32] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-mean-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g1-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g6-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g5-int32] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-gcn-int64] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-pool-int32] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-gcn-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g5-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g4-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g1-int64] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-mean-int32] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-pool-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[1-20-g6-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g6-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g4-int32] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-pool-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g0-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[5-20-g5-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g0-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g4-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g2-int64] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-gcn-int32] 0.01s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-gcn-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g0-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int64] 0.01s call tests/mxnet/test_nn.py::test_gat_conv[5-1-g6-int32] 0.01s call tests/mxnet/test_nn.py::test_tagconv[1] 0.01s call tests/mxnet/test_nn.py::test_glob_att_pool 0.01s call tests/mxnet/test_nn.py::test_tagconv[2] 0.01s call tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g0-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g0-int32] 0.01s call tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g1-int32] ===================== 806 passed, 1388 warnings in 12.44s ====================== Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 de73c67ffa4a79713667685cba6db8055b6efedc6f128f7788ad189db1ad7f42 $ docker rm -f de73c67ffa4a79713667685cba6db8055b6efedc6f128f7788ad189db1ad7f42 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } Converting to homogeneous graph takes 0.003s, peak mem: 1.389 GB Save partitions: 0.009 seconds, peak memory: 1.389 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 [ 5%] tests/compute/test_data.py::test_wiki_cs PASSED [ 5%] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) [ 5%] tests/compute/test_data.py::test_flickr Converting to homogeneous graph takes 0.009s, peak mem: 1.450 GB Convert a graph into a bidirected graph: 0.016 seconds, peak memory: 1.450 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.450 GB [03:47:15] /root/jenkins/workspace/dgl_PR-4499/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 4 parts and get 175472 edge cuts Metis partitioning: 0.187 seconds, peak memory: 1.450 GB Assigning nodes to METIS partitions takes 0.205s, peak mem: 1.450 GB Reshuffle nodes and edges: 0.020 seconds Split the graph: 0.070 seconds Construct subgraphs: 0.076 seconds Splitting the graph into partitions takes 0.166s, peak mem: 1.450 GB part 0 has 10000 nodes of type n1 and 2277 are inside the partition part 0 has 9809 nodes of type n2 and 2281 are inside the partition part 0 has 9836 nodes of type n3 and 2281 are inside the partition part 0 has 89401 edges of type r1 and 22838 are inside the partition part 0 has 36298 edges of type r2 and 22634 are inside the partition part 0 has 36245 edges of type r3 and 22797 are inside the partition part 1 has 10000 nodes of type n1 and 2574 are inside the partition part 1 has 9898 nodes of type n2 and 2577 are inside the partition part 1 has 9887 nodes of type n3 and 2580 are inside the partition part 1 has 92284 edges of type r1 and 25827 are inside the partition part 1 has 40987 edges of type r2 and 25901 are inside the partition part 1 has 40764 edges of type r3 and 25863 are inside the partition part 2 has 10000 nodes of type n1 and 2574 are inside the partition part 2 has 9887 nodes of type n2 and 2575 are inside the partition part 2 has 9902 nodes of type n3 and 2579 are inside the partition part 2 has 92085 edges of type r1 and 25529 are inside the partition part 2 has 40906 edges of type r2 and 25657 are inside the partition part 2 has 40681 edges of type r3 and 25666 are inside the partition part 3 has 10000 nodes of type n1 and 2575 are inside the partition part 3 has 9873 nodes of type n2 and 2577 are inside the partition part 3 has 9913 nodes of type n3 and 2580 are inside the partition part 3 has 92406 edges of type r1 and 25906 are inside the partition part 3 has 41062 edges of type r2 and 26008 are inside the partition part 3 has 40996 edges of type r3 and 25974 are inside the partition Save partitions: 0.045 seconds, peak memory: 1.450 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_extract_archive PASSED [ 5%] tests/compute/test_data.py::test_csvdataset Converting to homogeneous graph takes 0.003s, peak mem: 1.531 GB Convert a graph into a bidirected graph: 0.005 seconds, peak memory: 1.531 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.531 GB [03:47:20] /root/jenkins/workspace/dgl_PR-4499/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 10000 nodes and 199872 edges into 4 parts and get 56642 edge cuts Metis partitioning: 0.049 seconds, peak memory: 1.531 GB Assigning nodes to METIS partitions takes 0.054s, peak mem: 1.531 GB Reshuffle nodes and edges: 0.006 seconds Split the graph: 0.031 seconds Construct subgraphs: 0.037 seconds Splitting the graph into partitions takes 0.074s, peak mem: 1.531 GB part 0 has 10000 nodes and 2499 are inside the partition part 0 has 91540 edges and 25070 are inside the partition part 1 has 10000 nodes and 2501 are inside the partition part 1 has 91072 edges and 25006 are inside the partition part 2 has 10000 nodes and 2500 are inside the partition part 2 has 90805 edges and 24886 are inside the partition part 3 has 9999 nodes and 2500 are inside the partition part 3 has 91288 edges and 25038 are inside the partition Save partitions: 0.024 seconds, peak memory: 1.531 GB There are 100000 edges in the graph and 0 edge cuts for 4 partitions. PASSED [ 5%] tests/compute/test_data.py::test_add_nodepred_split PASSED [ 10%] tests/distributed/test_dist_graph_store.py::test_split_even 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 Converting to homogeneous graph takes 0.002s, peak mem: 1.531 GB Convert a graph into a bidirected graph: 0.004 seconds, peak memory: 1.531 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.531 GB [03:47:24] /root/jenkins/workspace/dgl_PR-4499/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 10000 nodes and 199872 edges into 4 parts and get 56303 edge cuts Metis partitioning: 0.046 seconds, peak memory: 1.531 GB Assigning nodes to METIS partitions takes 0.050s, peak mem: 1.531 GB Reshuffle nodes and edges: 0.005 seconds Split the graph: 0.024 seconds Construct subgraphs: 0.033 seconds Splitting the graph into partitions takes 0.062s, peak mem: 1.531 GB part 0 has 9999 nodes and 2500 are inside the partition part 0 has 91000 edges and 25027 are inside the partition part 1 has 10000 nodes and 2500 are inside the partition part 1 has 91189 edges and 25101 are inside the partition part 2 has 10000 nodes and 2500 are inside the partition part 2 has 91106 edges and 25044 are inside the partition part 3 has 10000 nodes and 2500 are inside the partition part 3 has 91234 edges and 24828 are inside the partition Save partitions: 0.020 seconds, peak memory: 1.531 GB There are 100000 edges in the graph and 0 edge cuts for 4 partitions. part 0 get 1761 nodes and 1761 are in the partition intersection has 1761 part 0 get 17285 edges and 17285 are in the partition intersection has 17285 part 1 get 1761 nodes and 1740 are in the partition intersection has 1761 part 1 get 17285 edges and 17185 are in the partition intersection has 17285 part 2 get 1760 nodes and 1750 are in the partition intersection has 1760 part 2 get 17285 edges and 17103 are in the partition intersection has 17285 part 3 get 1760 nodes and 1760 are in the partition intersection has 1760 part 3 get 17285 edges and 17082 are in the partition intersection has 17285 PASSED [ 12%] tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[1] Converting to homogeneous graph takes 0.001s, peak mem: 1.531 GB Save partitions: 0.001 seconds, peak memory: 1.531 GB There are 3060 edges in the graph and 0 edge cuts for 1 partitions. /root/jenkins/workspace/dgl_PR-4499@3/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 [03:47:25] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:47:25] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:25331]... [03:47:26] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:47:26] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Client [1084] waits on 172.17.0.2:56721 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-4499@3/cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4499@3/cora_v2 Finished data loading and preprocessing. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done saving data into cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.531 GB Save partitions: 0.027 seconds, peak memory: 1.531 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. /root/jenkins/workspace/dgl_PR-4499@3/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 [03:47:30] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:47:30] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13648]... [03:47:30] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:47:30] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Client [1084] waits on 172.17.0.2:35993 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: 1.531 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.531 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.531 GB [03:47:34] /root/jenkins/workspace/dgl_PR-4499/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: 1.531 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.531 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: 1.531 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: 1.531 GB There are 3060 edges in the graph and 0 edge cuts for 2 partitions. /root/jenkins/workspace/dgl_PR-4499@3/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 [03:47:35] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:47:35] /root/jenkins/workspace/dgl_PR-4499/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-4499@3/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 [03:47:36] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:47:36] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:10821]... [03:47:36] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:47:36] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Client [1084] waits on 172.17.0.2:44407 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: 1.531 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.531 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.531 GB [03:47:41] /root/jenkins/workspace/dgl_PR-4499/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: 1.531 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.531 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: 1.531 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: 1.531 GB There are 10556 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 5%] tests/compute/test_data.py::test_explain_syn /root/jenkins/workspace/dgl_PR-4499@3/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 [03:47:41] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:47:41] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:18024]... /root/jenkins/workspace/dgl_PR-4499@3/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 [03:47:42] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:47:42] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:18026]... [03:47:43] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:47:43] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 5%] tests/compute/test_data.py::test_explain_syn PASSED [ 5%] tests/compute/test_data.py::test_wiki_cs PASSED [ 5%] tests/compute/test_data.py::test_wiki_cs PASSED [ 5%] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) [ 5%] tests/compute/test_data.py::test_flickr Client [1084] waits on 172.17.0.2:37983 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: 1.531 GB Save partitions: 0.027 seconds, peak memory: 1.531 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. /root/jenkins/workspace/dgl_PR-4499@3/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 [03:47:47] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:47:47] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:27870]... [03:47:47] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:47:47] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 5%] tests/compute/test_data.py::test_extract_archive PASSED [ 5%] tests/compute/test_data.py::test_csvdataset PASSED [ 5%] tests/compute/test_data.py::test_add_nodepred_split Client [1084] waits on 172.17.0.2:56525 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: 1.531 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.531 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.531 GB [03:47:50] /root/jenkins/workspace/dgl_PR-4499/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: 1.531 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.531 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: 1.531 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: 1.531 GB There are 10556 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 5%] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) [ 5%] tests/compute/test_data.py::test_flickr /root/jenkins/workspace/dgl_PR-4499@3/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 [03:47:51] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:47:51] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:12848]... PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred1 PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred2 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:47:52] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:47:52] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:12850]... PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred_ogb [03:47:52] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:47:52] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Client [1084] waits on 172.17.0.2:36677 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 5%] tests/compute/test_data.py::test_extract_archive PASSED [ 5%] tests/compute/test_data.py::test_csvdataset PASSED [ 5%] tests/compute/test_data.py::test_add_nodepred_split Server (1) shutdown.Done get_degree 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: 1.531 GB Save partitions: 0.028 seconds, peak memory: 1.531 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. /root/jenkins/workspace/dgl_PR-4499@3/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 [03:47:58] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:47:58] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:17223]... [03:47:59] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:47:59] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 5%] tests/compute/test_data.py::test_as_linkpred PASSED [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb PASSED [ 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 [1395] waits on 172.17.0.2:55937 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4499@3/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... PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess Server (0) shutdown. Server is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.531 GB Save partitions: 0.004 seconds, peak memory: 1.531 GB There are 3060 edges in the graph and 0 edge cuts for 1 partitions. /root/jenkins/workspace/dgl_PR-4499@3/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 [03:48:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:48:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:24719]... [03:48:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:48:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 Client [1084] waits on 172.17.0.2:53531 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Done samplingServer (0) shutdown. Server is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.531 GB Save partitions: 0.002 seconds, peak memory: 1.531 GB There are 3000 edges in the graph and 0 edge cuts for 1 partitions. [03:48:08] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:48:08] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4499@3/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 [03:48:08] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:48:08] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13648]... 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 [ 5%] tests/compute/test_data.py::test_as_linkpred PASSED [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype1] Client [1084] waits on 172.17.0.2:42819 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: 1.531 GB Save partitions: 0.002 seconds, peak memory: 1.531 GB There are 13220 edges in the graph and 0 edge cuts for 1 partitions. /root/jenkins/workspace/dgl_PR-4499@3/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 [03:48:16] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:48:16] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13648]... [03:48:17] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:48:17] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Client [1084] waits on 172.17.0.2:57047 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Done samplingServer is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.531 GB Save partitions: 0.003 seconds, peak memory: 1.531 GB There are 13220 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype0] PASSED [ 7%] tests/compute/test_heterograph.py::test_empty_query[idtype1] /root/jenkins/workspace/dgl_PR-4499@3/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 [03:48:21] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:48:21] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13648]... [03:48:21] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:48:21] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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] Client [1084] waits on 172.17.0.2:40409 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... 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] Server (0) shutdown. Server is exiting... Done sampling PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype1] Converting to homogeneous graph takes 0.001s, peak mem: 1.531 GB Save partitions: 0.002 seconds, peak memory: 1.531 GB There are 11990 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred 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] /root/jenkins/workspace/dgl_PR-4499@3/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 [03:48:26] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:48:26] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13648]... [03:48:26] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:48:26] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 9%] tests/compute/test_heterograph.py::test_level2[idtype1] Client [1084] waits on 172.17.0.2:35173 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: 1.531 GB Save partitions: 0.001 seconds, peak memory: 1.531 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. 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] /root/jenkins/workspace/dgl_PR-4499@3/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 [03:48:31] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:48:31] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13648]... [03:48:31] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:48:31] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Client [1084] waits on 172.17.0.2:49929 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: 1.531 GB Save partitions: 0.001 seconds, peak memory: 1.531 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. /root/jenkins/workspace/dgl_PR-4499@3/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 [03:48:35] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:48:35] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:10819]... PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[idtype1] [03:48:35] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:48:35] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess PASSED [ 9%] tests/compute/test_heterograph.py::test_backward[idtype0] Client [1084] waits on 172.17.0.2:40973 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: 1.531 GB Save partitions: 0.001 seconds, peak memory: 1.531 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. 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] /root/jenkins/workspace/dgl_PR-4499@3/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 [03:48:39] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:48:39] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:19012]... [03:48:39] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:48:39] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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] Client [1084] waits on 172.17.0.2:33569 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: 1.531 GB Save partitions: 0.001 seconds, peak memory: 1.531 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. PASSED [ 9%] tests/compute/test_heterograph.py::test_format[idtype1] /root/jenkins/workspace/dgl_PR-4499@3/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 [03:48:43] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:48:43] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:18024]... [03:48:43] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:48:43] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 10%] tests/compute/test_heterograph.py::test_edges_order[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_edges_order[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_reverse[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_frame_device[idtype0] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_frame_device[idtype1] SKIPPED [ 10%] tests/compute/test_heterograph.py::test_create_block[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_create_block[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[coo-idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_adj_sparse[csr-idtype0] PASSED [ 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 [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb Client [1084] waits on 172.17.0.2:58351 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Done sampling Server (0) shutdown. Server is exiting... PASSED [ 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: 1.531 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.531 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.531 GB [03:48:47] /root/jenkins/workspace/dgl_PR-4499/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: 1.531 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.531 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.002 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.531 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: 0.018 seconds, peak memory: 1.531 GB There are 10556 edges in the graph and 0 edge cuts for 2 partitions. /root/jenkins/workspace/dgl_PR-4499@3/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 [03:48:48] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:48:48] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:17314]... PASSED [ 11%] tests/compute/test_index.py::test_dlpack SKIPPED (TF doesn't support...) [ 11%] tests/compute/test_kernel.py::test_copy_src_reduce /root/jenkins/workspace/dgl_PR-4499@3/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 [03:48:49] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:48:49] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:17316]... /root/jenkins/workspace/dgl_PR-4499@3/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)'.") [03:48:50] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:48:50] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Client [1505] waits on 172.17.0.2:50039 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: 1.531 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.531 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.531 GB [03:48:53] /root/jenkins/workspace/dgl_PR-4499/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: 0.002 seconds, peak memory: 1.531 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.531 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: 1.531 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: 1.531 GB There are 3060 edges in the graph and 0 edge cuts for 2 partitions. PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce /root/jenkins/workspace/dgl_PR-4499@3/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 [03:48:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:48:54] /root/jenkins/workspace/dgl_PR-4499/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-4499@3/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 [03:48:55] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:48:55] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:14574]... [03:48:55] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:48:55] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Client [1084] waits on 172.17.0.2:50751 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins Server (1) shutdown. Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.531 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.531 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.531 GB [03:48:59] /root/jenkins/workspace/dgl_PR-4499/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 3030 nodes and 6000 edges into 2 parts and get 199 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.531 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.531 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 0.004s, peak mem: 1.531 GB part 0 has 555 nodes of type n1 and 493 are inside the partition part 0 has 550 nodes of type n2 and 486 are inside the partition part 0 has 556 nodes of type n3 and 496 are inside the partition part 0 has 508 edges of type r12 and 473 are inside the partition part 0 has 517 edges of type r13 and 486 are inside the partition part 0 has 494 edges of type r23 and 462 are inside the partition part 1 has 577 nodes of type n1 and 517 are inside the partition part 1 has 567 nodes of type n2 and 514 are inside the partition part 1 has 594 nodes of type n3 and 524 are inside the partition part 1 has 541 edges of type r12 and 517 are inside the partition part 1 has 565 edges of type r13 and 524 are inside the partition part 1 has 574 edges of type r23 and 538 are inside the partition Save partitions: 0.004 seconds, peak memory: 1.531 GB There are 3000 edges in the graph and 0 edge cuts for 2 partitions. /root/jenkins/workspace/dgl_PR-4499@3/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 [03:49:00] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:00] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:19012]... /root/jenkins/workspace/dgl_PR-4499@3/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 [03:49:01] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:01] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:19014]... [03:49:01] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:01] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Client [1084] waits on 172.17.0.2:34743 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown.Server (1) shutdown. Server is exiting... Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.531 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.531 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.531 GB [03:49:06] /root/jenkins/workspace/dgl_PR-4499/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: 1.531 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.531 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: 1.531 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: 1.531 GB There are 13220 edges in the graph and 0 edge cuts for 2 partitions. /root/jenkins/workspace/dgl_PR-4499@3/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 [03:49:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:18024]... /root/jenkins/workspace/dgl_PR-4499@3/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 [03:49:08] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:08] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:18026]... [03:49:08] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:08] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Client [1084] waits on 172.17.0.2:36539 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown.Server (1) shutdown. Server is exiting... Server is exiting... Done sampling Converting to homogeneous graph takes 0.001s, peak mem: 1.531 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.531 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.531 GB [03:49:12] /root/jenkins/workspace/dgl_PR-4499/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: 1.531 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.531 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: 1.531 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: 0.003 seconds, peak memory: 1.531 GB There are 13220 edges in the graph and 0 edge cuts for 2 partitions. 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 [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess PASSED [ 7%] tests/compute/test_heterograph.py::test_query[idtype1] /root/jenkins/workspace/dgl_PR-4499@3/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 [03:49:13] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:13] /root/jenkins/workspace/dgl_PR-4499/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_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] /root/jenkins/workspace/dgl_PR-4499@3/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 [03:49:14] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:14] /root/jenkins/workspace/dgl_PR-4499/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_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] [03:49:14] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:14] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph_mask[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_subgraph[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype0] PASSED [ 8%] tests/compute/test_heterograph.py::test_apply[idtype1] PASSED [ 8%] tests/compute/test_heterograph.py::test_level2[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_level2[idtype1] PASSED [ 9%] tests/compute/test_heterograph.py::test_more_nnz[idtype0] SKIPPED (N...) [ 9%] tests/compute/test_heterograph.py::test_more_nnz[idtype1] SKIPPED (N...) [ 9%] tests/compute/test_heterograph.py::test_updates[idtype0] PASSED [ 9%] tests/compute/test_heterograph.py::test_updates[idtype1] Client [1084] waits on 172.17.0.2:44067 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... 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] Server (1) shutdown.Server (0) shutdown.Done sampling Server is exiting... Server is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.531 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.531 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.531 GB [03:49:18] /root/jenkins/workspace/dgl_PR-4499/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: 1.531 GB Assigning nodes to METIS partitions takes 0.006s, peak mem: 1.531 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: 1.531 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: 0.003 seconds, peak memory: 1.531 GB There are 11990 edges in the graph and 0 edge cuts for 2 partitions. 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] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_clone[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_add_nodes[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_edges[idtype1] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype0] PASSED [ 10%] tests/compute/test_heterograph.py::test_remove_nodes[idtype1] /root/jenkins/workspace/dgl_PR-4499@3/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 [03:49:19] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:19] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:18024]... 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 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:49:20] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:20] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:18026]... [03:49:20] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:20] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 11%] tests/compute/test_index.py::test_dlpack PASSED [ 11%] tests/compute/test_kernel.py::test_copy_src_reduce PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce Client [1084] waits on 172.17.0.2:45995 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: 1.531 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.531 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.531 GB [03:49:24] /root/jenkins/workspace/dgl_PR-4499/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1500 nodes and 2000 edges into 2 parts and get 26 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.531 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.531 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: 1.531 GB part 0 has 517 nodes of type game and 503 are inside the partition part 0 has 255 nodes of type user and 243 are inside the partition part 0 has 514 edges of type buys and 500 are inside the partition part 1 has 509 nodes of type game and 497 are inside the partition part 1 has 271 nodes of type user and 257 are inside the partition part 1 has 512 edges of type buys and 500 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.531 GB There are 1000 edges in the graph and 0 edge cuts for 2 partitions. /root/jenkins/workspace/dgl_PR-4499@3/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 [03:49:24] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:24] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:18024]... PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins /root/jenkins/workspace/dgl_PR-4499@3/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 [03:49:26] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:26] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:18026]... [03:49:26] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:26] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb Client [1084] waits on 172.17.0.2:55443 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Done samplingServer (1) shutdown. Server is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.531 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.531 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.531 GB [03:49:29] /root/jenkins/workspace/dgl_PR-4499/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1500 nodes and 2000 edges into 2 parts and get 16 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.531 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.531 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: 1.531 GB part 0 has 518 nodes of type game and 513 are inside the partition part 0 has 266 nodes of type user and 255 are inside the partition part 0 has 511 edges of type buys and 506 are inside the partition part 1 has 498 nodes of type game and 487 are inside the partition part 1 has 250 nodes of type user and 245 are inside the partition part 1 has 505 edges of type buys and 494 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.531 GB There are 1000 edges in the graph and 0 edge cuts for 2 partitions. /root/jenkins/workspace/dgl_PR-4499@3/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 [03:49:30] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:30] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:27870]... /root/jenkins/workspace/dgl_PR-4499@3/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 [03:49:31] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:31] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:27872]... [03:49:31] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:31] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4499@4 [Pipeline] { [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa 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-4499@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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 Cleaning workspace Fetching without tags Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4499/head:refs/remotes/origin/PR-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace Client [1084] waits on 172.17.0.2:44823 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... [Pipeline] withEnv [Pipeline] { > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh + docker pull dgllib/dgl-ci-cpu:cu101_v220629 Server (0) shutdown.Server (1) shutdown. Server is exiting... Done samplingServer is exiting... Converting to homogeneous graph takes 0.001s, peak mem: 1.531 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.531 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.531 GB [03:49:35] /root/jenkins/workspace/dgl_PR-4499/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1500 nodes and 2000 edges into 2 parts and get 13 edge cuts Metis partitioning: 0.002 seconds, peak memory: 1.531 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.531 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: 1.531 GB part 0 has 495 nodes of type game and 491 are inside the partition part 0 has 252 nodes of type user and 243 are inside the partition part 0 has 485 edges of type buys and 481 are inside the partition part 1 has 518 nodes of type game and 509 are inside the partition part 1 has 261 nodes of type user and 257 are inside the partition part 1 has 528 edges of type buys and 519 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.531 GB There are 1000 edges in the graph and 0 edge cuts for 2 partitions. 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 -w /root/jenkins/workspace/dgl_PR-4499@4 -v /root/jenkins/workspace/dgl_PR-4499@4:/root/jenkins/workspace/dgl_PR-4499@4:rw,z -v /root/jenkins/workspace/dgl_PR-4499@4@tmp:/root/jenkins/workspace/dgl_PR-4499@4@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:cu101_v220629 cat /root/jenkins/workspace/dgl_PR-4499@3/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 [03:49:36] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:36] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:10976]... $ docker top 340dd0ca01088a6f8c4320f4ea86422369cb7b625e5ec37d0e7815abcb85f200 -eo pid,comm [Pipeline] { [Pipeline] stage [Pipeline] { (MXNet 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 786e4b1b-86b9-4b2a-8500-f731d83996aa Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@6b86be7b; decorates RemoteLauncher[hudson.remoting.Channel@2d9d6160: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 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:49:37] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:37] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:10978]... [03:49:37] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:37] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Fetching without tags Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4499@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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4499 # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 [Pipeline] sh + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4499@4/third_party/METIS'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@4/third_party/dlpack'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@4/third_party/dmlc-core'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@4/third_party/googletest'... Client [1084] waits on 172.17.0.2:41857 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: 1.531 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.531 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.531 GB [03:49:41] /root/jenkins/workspace/dgl_PR-4499/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1500 nodes and 2000 edges into 2 parts and get 27 edge cuts Metis partitioning: 0.001 seconds, peak memory: 1.531 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.531 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: 1.531 GB part 0 has 534 nodes of type game and 515 are inside the partition part 0 has 262 nodes of type user and 255 are inside the partition part 0 has 529 edges of type buys and 509 are inside the partition part 1 has 492 nodes of type game and 485 are inside the partition part 1 has 263 nodes of type user and 245 are inside the partition part 1 has 498 edges of type buys and 491 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.531 GB There are 1000 edges in the graph and 0 edge cuts for 2 partitions. /root/jenkins/workspace/dgl_PR-4499@3/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 [03:49:42] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:42] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:26559]... /root/jenkins/workspace/dgl_PR-4499@3/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 [03:49:43] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:43] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:26561]... [03:49:43] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:43] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Cloning into '/root/jenkins/workspace/dgl_PR-4499@4/third_party/libxsmm'... Client [1084] waits on 172.17.0.2:59855 Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (1) shutdown.Done sampling Server is exiting... Server (0) shutdown. Server is exiting... PASSED [ 25%] tests/distributed/test_distributed_sampling.py::test_standalone_sampling NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.531 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.020 seconds, peak memory: 1.531 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: 1.531 GB Save partitions: 0.046 seconds, peak memory: 1.531 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 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: 1.531 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.531 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.531 GB [03:49:46] /root/jenkins/workspace/dgl_PR-4499/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: 1.531 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.531 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: 1.531 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: 0.020 seconds, peak memory: 1.531 GB There are 10556 edges in the graph and 0 edge cuts for 2 partitions. /root/jenkins/workspace/dgl_PR-4499@3/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 [03:49:47] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:47] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:17223]... /root/jenkins/workspace/dgl_PR-4499@3/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 [03:49:48] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:48] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:17225]... [03:49:48] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:48] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Client [1084] waits on 172.17.0.2:36409 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: 1.531 GB Save partitions: 0.002 seconds, peak memory: 1.531 GB There are 21112 edges in the graph and 0 edge cuts for 1 partitions. Client[-1] in group[-1] is exiting... NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.531 GB Save partitions: 0.026 seconds, peak memory: 1.531 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: 1.531 GB Calculate edge assignment: 0.000 seconds Save partitions: 0.028 seconds, peak memory: 1.531 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 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: 1.531 GB Save partitions: 0.016 seconds, peak memory: 1.531 GB There are 10556 edges in the graph and 0 edge cuts for 1 partitions. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Client[-1] in group[-1] is exiting... PASSED [ 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: 1.531 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.531 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.531 GB [03:49:52] /root/jenkins/workspace/dgl_PR-4499/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: 1.531 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.531 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: 1.531 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.021 seconds, peak memory: 1.531 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=1 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:49:53] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:53] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:23848]... server: #clients=1 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:49:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:23851]... server: #clients=1 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:49:55] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:55] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:23854]... [03:49:56] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:49:56] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Cloning into '/root/jenkins/workspace/dgl_PR-4499@4/third_party/nanoflann'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@4/third_party/nccl'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@4/third_party/phmap'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@4/third_party/tensorpipe'... Client [1709] waits on 172.17.0.2:52791 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4499@3/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. 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... Cloning into '/root/jenkins/workspace/dgl_PR-4499@4/third_party/thrust'... 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: 1.531 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.531 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.531 GB [03:50:00] /root/jenkins/workspace/dgl_PR-4499/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: 1.531 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.531 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: 1.531 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: 1.531 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=5 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:50:01] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:01] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21149]... Cloning into '/root/jenkins/workspace/dgl_PR-4499@4/third_party/tvm'... server: #clients=5 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:50:02] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:02] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21152]... server: #clients=5 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:50:03] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:03] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21155]... [03:50:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:50:05] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:05] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:50:05] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:05] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:50:05] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:05] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:50:06] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:06] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Client [1744] waits on 172.17.0.2:55925 Client [1746] waits on 172.17.0.2:47673Client [1745] waits on 172.17.0.2:53739 Client [1743] waits on 172.17.0.2:36943 Client [1739] waits on 172.17.0.2:44605 Machine (0) group (0) client (2) connect to server successfuly!Machine (0) group (0) client (3) connect to server successfuly!Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4499@3/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. Client[1] in group[0] is exiting... Client[0] in group[0] is exiting... Client[4] in group[0] is exiting... Client[3] in group[0] is exiting... Client[2] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-idtype0] PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-idtype1] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[idtype0] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[idtype1] PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_id SKIPPED (NCCL only runs on ...) [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_remainder SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_remainder SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_range SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_range SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_support SKIPPED (NCCL only run...) [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype0] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype1] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype0] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype1] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] PASSED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype0] SKIPPED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype1] SKIPPED [ 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 [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[idtype0] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[idtype1] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype0] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype1] PASSED [ 13%] tests/compute/test_random.py::test_random_choice PASSED [ 13%] tests/compute/test_readout.py::test_sum_case1[idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_sum_case1[idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g0-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g0-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g1-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g1-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-idtype1] PASSED [ 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%] 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 [ 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 [ 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] 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 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: 1.531 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.531 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.531 GB [03:50:13] /root/jenkins/workspace/dgl_PR-4499/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: 1.531 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.531 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: 1.531 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: 1.531 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=1 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:50:14] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:14] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:19105]... server: #clients=1 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:50:15] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:15] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:19108]... server: #clients=1 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:50:16] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:16] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:19111]... [03:50:17] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:17] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Client [1845] waits on 172.17.0.2:37755 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4499@3/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. Cloning into '/root/jenkins/workspace/dgl_PR-4499@4/third_party/xbyak'... Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule 'GKlib' (https://github.com/KarypisLab/GKlib.git) registered for path 'third_party/METIS/GKlib' Cloning into '/root/jenkins/workspace/dgl_PR-4499@4/third_party/METIS/GKlib'... Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' PASSED [ 38%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-False-4-3] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. torch.int64 Converting to homogeneous graph takes 0.001s, peak mem: 1.531 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.531 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.531 GB [03:50:21] /root/jenkins/workspace/dgl_PR-4499/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: 1.531 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.531 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: 1.531 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: 0.023 seconds, peak memory: 1.531 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' server: #clients=5 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:50:22] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:22] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:15094]... 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-4499@4/third_party/tensorpipe/third_party/googletest'... server: #clients=5 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:50:23] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:23] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:15097]... Cloning into '/root/jenkins/workspace/dgl_PR-4499@4/third_party/tensorpipe/third_party/libnop'... server: #clients=5 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:50:24] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:24] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:15100]... Cloning into '/root/jenkins/workspace/dgl_PR-4499@4/third_party/tensorpipe/third_party/libuv'... [03:50:25] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:25] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:50:25] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:25] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:50:26] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:26] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:50:26] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:26] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:50:26] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:26] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Cloning into '/root/jenkins/workspace/dgl_PR-4499@4/third_party/tensorpipe/third_party/pybind11'... 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 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-4499@4/third_party/tensorpipe/third_party/pybind11/tools/clang'... Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' Submodule 'cub' (https://github.com/NVIDIA/cub.git) registered for path 'third_party/thrust/dependencies/cub' Cloning into '/root/jenkins/workspace/dgl_PR-4499@4/third_party/thrust/dependencies/cub'... PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_prob Client [1873] waits on 172.17.0.2:43531 Client [1882] waits on 172.17.0.2:38943 Client [1880] waits on 172.17.0.2:54295 Client [1881] waits on 172.17.0.2:41183 Client [1879] waits on 172.17.0.2:44891 Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4499@3/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. Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' 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 [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_outedge 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-4499@4/third_party/tvm/3rdparty/dlpack'... Client[4] in group[0] is exiting... Cloning into '/root/jenkins/workspace/dgl_PR-4499@4/third_party/tvm/3rdparty/dmlc-core'... Client[1] in group[0] is exiting... Cloning into '/root/jenkins/workspace/dgl_PR-4499@4/third_party/tvm/3rdparty/rang'... Client[0] in group[0] is exiting... Cloning into '/root/jenkins/workspace/dgl_PR-4499@4/third_party/tvm/3rdparty/vta-hw'... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... 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 PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk + bash tests/scripts/task_unit_test.sh mxnet cpu 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 Requirement already satisfied: pytest in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (7.0.1) PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] PASSED [ 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: 1.531 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.531 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.531 GB [03:50:33] /root/jenkins/workspace/dgl_PR-4499/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: 1.531 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.531 GB Split the graph: 0.003 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.005s, peak mem: 1.531 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: 1.531 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. 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] 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 [ 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] server: #clients=1 load test_sampling start graph service on server 0 for part 0 [03:50:34] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:34] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:17055]... 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] Collecting pydantic Downloading pydantic-1.9.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (11.2 MB) 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...) 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[03:50:35] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:17058]... 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[ 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%] Using cached scikit_learn-0.24.2-cp36-cp36m-manylinux2010_x86_64.whl (22.2 MB) Collecting torch>=1.6.0 Downloading torch-1.10.2-cp36-cp36m-manylinux1_x86_64.whl (881.9 MB) 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] server: #clients=1 load test_sampling start graph service on server 2 for part 2 [03:50:36] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:36] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-g0] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp3-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 [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g0] 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: 1.531 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.531 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.531 GB [03:50:41] /root/jenkins/workspace/dgl_PR-4499/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: 1.531 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.531 GB Split the graph: 0.003 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.531 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: 1.531 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g0] server: #clients=5 load test_sampling start graph service on server 0 for part 0 [03:50:42] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:42] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21029]... 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] server: #clients=5 load test_sampling start graph service on server 1 for part 1 [03:50:43] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:43] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21032]... 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] server: #clients=5 load test_sampling start graph service on server 2 for part 2 [03:50:44] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:44] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21035]... PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce 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] [03:50:45] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:45] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g1] 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: joblib>=0.11 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from scikit-learn>=0.20.0->ogb) (1.1.0) Collecting threadpoolctl>=2.0.0 Using cached threadpoolctl-3.1.0-py3-none-any.whl (14 kB) Requirement already satisfied: scipy>=0.19.1 in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from scikit-learn>=0.20.0->ogb) (1.5.4) Requirement already satisfied: importlib-resources in /opt/conda/envs/mxnet-ci/lib/python3.6/site-packages (from tqdm>=4.29.0->ogb) (5.4.0) Requirement already satisfied: 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: 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) Installing collected packages: threadpoolctl, pytz, littleutils, dataclasses, torch, scikit-learn, pandas, outdated, isodate, rdflib, pyyaml, pydantic, psutil, ogb 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] [03:50:46] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:46] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:50:46] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:46] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:50:46] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:46] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g1] [03:50:47] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:47] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp4-g0] PASSED [ 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] Client [2015] waits on 172.17.0.2:54867 Client [2014] waits on 172.17.0.2:42611 Client [2013] waits on 172.17.0.2:41737 Client [2009] waits on 172.17.0.2:41665 Client [2016] waits on 172.17.0.2:50507 Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly!Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp3-g1] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g0] Client[0] in group[0] is exiting... Client[1] in group[0] is exiting... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp4-g1] Client[2] in group[0] is exiting... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g1] Client[4] in group[0] is exiting... 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] Client[3] in group[0] is exiting... 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] 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_rhs-shp2-g1] PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins 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 [ 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: 1.531 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.531 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.531 GB PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp5-g1] [03:50:54] /root/jenkins/workspace/dgl_PR-4499/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: 1.531 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.531 GB Split the graph: 0.002 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.531 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: 1.531 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. 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] server: #clients=1 load test_sampling start graph service on server 0 for part 0 [03:50:55] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:55] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13349]... 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] server: #clients=1 load test_sampling start graph service on server 1 for part 1 [03:50:56] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:56] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13352]... 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] server: #clients=1 load test_sampling start graph service on server 2 for part 2 [03:50:57] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:57] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13355]... 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] [03:50:58] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:50:58] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g0] PASSED [ 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] Client [2115] waits on 172.17.0.2:37945 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 [ 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] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g1] PASSED [ 45%] tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-False-4-3] 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] 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: 1.531 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.531 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.531 GB [03:51:02] /root/jenkins/workspace/dgl_PR-4499/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: 1.531 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.531 GB Split the graph: 0.003 seconds Construct subgraphs: 0.002 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.531 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: 1.531 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. 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] server: #clients=5 load test_sampling start graph service on server 0 for part 0 [03:51:03] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:51:03] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13039]... 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] server: #clients=5 load test_sampling start graph service on server 1 for part 1 [03:51:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:51:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13042]... 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] server: #clients=5 load test_sampling start graph service on server 2 for part 2 [03:51:05] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:51:05] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13045]... 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] [03:51:06] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:51:06] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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] [03:51:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:51:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g0] [03:51:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:51:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:51:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:51:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:51:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:51:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g1] Successfully installed dataclasses-0.8 isodate-0.6.1 littleutils-0.2.2 ogb-1.3.4 outdated-0.2.1 pandas-1.1.5 psutil-5.9.1 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-4499@4 collecting ... 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 [2145] waits on 172.17.0.2:40591 Client [2149] waits on 172.17.0.2:55385Client [2152] waits on 172.17.0.2:48489 Client [2151] waits on 172.17.0.2:52975Client [2150] waits on 172.17.0.2:39155 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 (3) connect to server successfuly! NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g1] Client[1] in group[0] is exiting... Client[4] in group[0] is exiting... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g0] Client[0] in group[0] is exiting... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g1] Client[3] in group[0] is exiting... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g0] Client[2] in group[0] is exiting... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g1] Server (0) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... 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 [ 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: 1.531 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.531 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.531 GB [03:51:14] /root/jenkins/workspace/dgl_PR-4499/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: 1.531 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.531 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: 1.531 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: 0.022 seconds, peak memory: 1.531 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-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] server: #clients=1 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:51:15] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:51:15] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:22449]... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g1] collected 2430 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 [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g0] PASSED [ 0%] tests/compute/test_basics.py::test_apply_edges[int64] PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[int32] server: #clients=1 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:51:16] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:51:16] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:22452]... 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] server: #clients=1 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:51:17] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:51:17] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:22455]... PASSED [ 0%] tests/compute/test_basics.py::test_update_routines[int64] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g1] [03:51:18] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:51:18] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g0] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[int32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g1] PASSED [ 0%] tests/compute/test_basics.py::test_update_all_0deg[int64] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[int32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g0] PASSED [ 0%] tests/compute/test_basics.py::test_pull_0deg[int64] PASSED [ 0%] tests/compute/test_basics.py::test_dynamic_addition PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g1] 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g0] 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g1] 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g0] PASSED [ 1%] tests/compute/test_basics.py::test_issue_2484[int32] Client [2251] waits on 172.17.0.2:51443 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4499@3/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 [ 1%] tests/compute/test_basics.py::test_issue_2484[int64] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g1] 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g0] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[int32] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch_frame[int64] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[int32] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_unbatch2[int64] PASSED [ 1%] tests/compute/test_batched_graph.py::test_batch_send_and_recv[int32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g1] 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] Server (2) shutdown. Server is exiting... PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g0] PASSED [ 2%] tests/compute/test_batched_graph.py::test_batch_propagate[int64] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g1] 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g0] 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g1] PASSED [ 2%] tests/compute/test_batched_graph.py::test_set_batch_info[int64] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[int32-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[int32-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[int64-gs0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_topology[int64-gs1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_batching_batched[int32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g0] 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g1] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_unbatch2[int64] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[int32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g0] PASSED [ 2%] tests/compute/test_batched_heterograph.py::test_slice_batch[int64] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[int32] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_keeps_empty_data[int64] PASSED [ 3%] tests/compute/test_batched_heterograph.py::test_batch_netypes PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[float32-int32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[float32-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[float64-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm[float64-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-float32-int32] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g0] 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[1-float64-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-float32-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrmm_backward[2-float32-int64] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g0] 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g1] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[float32-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[float64-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum[float64-int64] PASSED [ 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g0] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-float64-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[1-float64-int64] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-float32-int32] PASSED [ 3%] tests/compute/test_csrmm.py::test_csrsum_backward[2-float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-float64-int32] PASSED [ 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 [ 4%] tests/compute/test_csrmm.py::test_csrsum_backward[2-float64-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-9000-float64-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[9000-0-float64-int64] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g1] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-9000-float64-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask[0-0-float64-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[float32-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[float32-int64] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[float64-int32] PASSED [ 4%] tests/compute/test_csrmm.py::test_csrmask_backward[float64-int64] PASSED [ 4%] tests/compute/test_data.py::test_minigc SKIPPED (Skip MXNet) [ 4%] tests/compute/test_data.py::test_gin SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_fraud SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_fakenews SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_tudataset_regression SKIPPED (Skip ...) [ 5%] tests/compute/test_data.py::test_data_hash SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_citation_graph SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_gnn_benchmark SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_reddit SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_explain_syn SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_wiki_cs SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_yelp SKIPPED (Dataset too large to ...) [ 5%] tests/compute/test_data.py::test_flickr SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_extract_archive SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_csvdataset SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_add_nodepred_split SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_as_nodepred1 SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_as_nodepred2 SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_as_nodepred_ogb SKIPPED (ogb only s...) [ 5%] tests/compute/test_data.py::test_as_linkpred SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_as_linkpred_ogb SKIPPED (ogb only s...) [ 5%] tests/compute/test_data.py::test_as_nodepred_csvdataset SKIPPED (Ski...) [ 5%] tests/compute/test_data.py::test_as_graphpred SKIPPED (Skip MXNet) [ 5%] tests/compute/test_data.py::test_as_graphpred_reprocess SKIPPED (Ski...) [ 5%] tests/compute/test_data.py::test_as_graphpred_ogb SKIPPED (ogb only ...) [ 5%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[int32] PASSED [ 6%] tests/compute/test_dataloader.py::test_edge_prediction_sampler[int64] PASSED [ 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 [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int32-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int32-dst-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int64-src-g0] SKIPPED [ 6%] tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[int64-dst-g0] SKIPPED [ 6%] tests/compute/test_filter.py::test_graph_filter PASSED [ 6%] tests/compute/test_filter.py::test_array_filter[int32] SKIPPED (CPU ...) [ 6%] tests/compute/test_filter.py::test_array_filter[int64] SKIPPED (CPU ...) [ 6%] tests/compute/test_frame.py::test_column_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_plain PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_subcolumn PASSED [ 6%] tests/compute/test_frame.py::test_serialize_deserialize_dtype PASSED [ 6%] tests/compute/test_generators.py::test_rand_graph PASSED [ 6%] tests/compute/test_graph.py::test_query PASSED [ 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 [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-idtype0] PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-idtype1] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[idtype0] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[idtype1] PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_id SKIPPED (NCCL only runs on ...) [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_remainder SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_remainder SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_range SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_range SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_support SKIPPED (NCCL only run...) [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype0] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype1] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype0] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype1] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] PASSED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] PASSED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype0] SKIPPED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[idtype1] SKIPPED [ 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 [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[idtype0] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[idtype1] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype0] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype1] PASSED [ 13%] tests/compute/test_random.py::test_random_choice PASSED [ 13%] tests/compute/test_readout.py::test_sum_case1[idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_sum_case1[idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g0-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g0-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g1-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g1-idtype1] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-idtype0] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-idtype1] PASSED [ 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%] 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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%] 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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 [ 6%] tests/compute/test_graph.py::test_mutation PASSED [ 6%] tests/compute/test_graph.py::test_scipy_adjmat PASSED [ 6%] tests/compute/test_graph.py::test_incmat PASSED [ 6%] tests/compute/test_graph.py::test_find_edges PASSED [ 6%] tests/compute/test_graph.py::test_ismultigraph PASSED [ 6%] tests/compute/test_graph.py::test_hypersparse_query PASSED [ 6%] tests/compute/test_graph.py::test_empty_data_initialized PASSED [ 6%] tests/compute/test_graph.py::test_is_sorted PASSED [ 6%] tests/compute/test_graph.py::test_default_types PASSED [ 6%] tests/compute/test_graph.py::test_formats PASSED [ 7%] tests/compute/test_heterograph.py::test_create[int32] PASSED [ 7%] tests/compute/test_heterograph.py::test_create[int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_create2 PASSED [ 7%] tests/compute/test_heterograph.py::test_query[int32] PASSED [ 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] Converting to homogeneous graph takes 0.009s, peak mem: 1.839 GB Convert a graph into a bidirected graph: 0.017 seconds, peak memory: 1.839 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.839 GB [03:51:39] /root/jenkins/workspace/dgl_PR-4499/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152607 edge cuts Metis partitioning: 0.193 seconds, peak memory: 1.839 GB Assigning nodes to METIS partitions takes 0.212s, peak mem: 1.839 GB Reshuffle nodes and edges: 0.022 seconds Split the graph: 0.058 seconds Construct subgraphs: 0.045 seconds Splitting the graph into partitions takes 0.125s, peak mem: 1.839 GB part 0 has 9964 nodes of type n1 and 3135 are inside the partition part 0 has 9968 nodes of type n2 and 3144 are inside the partition part 0 has 9965 nodes of type n3 and 3141 are inside the partition part 0 has 47330 edges of type r1 and 31051 are inside the partition part 0 has 47675 edges of type r2 and 31375 are inside the partition part 0 has 47429 edges of type r3 and 31120 are inside the partition part 1 has 9970 nodes of type n1 and 3433 are inside the partition part 1 has 9978 nodes of type n2 and 3434 are inside the partition part 1 has 9988 nodes of type n3 and 3439 are inside the partition part 1 has 51505 edges of type r1 and 34286 are inside the partition part 1 has 52042 edges of type r2 and 34710 are inside the partition part 1 has 51750 edges of type r3 and 34516 are inside the partition part 2 has 9973 nodes of type n1 and 3432 are inside the partition part 2 has 9984 nodes of type n2 and 3432 are inside the partition part 2 has 9989 nodes of type n3 and 3440 are inside the partition part 2 has 51823 edges of type r1 and 34763 are inside the partition part 2 has 51563 edges of type r2 and 34115 are inside the partition part 2 has 52090 edges of type r3 and 34664 are inside the partition Save partitions: 0.041 seconds, peak memory: 1.839 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=1 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:51:40] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:51:40] /root/jenkins/workspace/dgl_PR-4499/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-4499@3/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 [03:51:41] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:51:41] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13172]... 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] server: #clients=1 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:51:42] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:51:42] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:13175]... 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] [03:51:43] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:51:43] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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] 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] Client [2291] waits on 172.17.0.2:48497 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4499@3/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 [ 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] Client[0] in group[0] is exiting... Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... PASSED [ 49%] tests/distributed/test_mp_dataloader.py::test_dataloader[node-4-3] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-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: 1.839 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.839 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.839 GB [03:51:47] /root/jenkins/workspace/dgl_PR-4499/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: 1.839 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.839 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: 1.839 GB part 0 has 1046 nodes and 903 are inside the partition part 0 has 3490 edges and 3317 are inside the partition part 1 has 1064 nodes and 902 are inside the partition part 1 has 4006 edges and 3739 are inside the partition part 2 has 1056 nodes and 903 are inside the partition part 2 has 3710 edges and 3500 are inside the partition Save partitions: 0.020 seconds, peak memory: 1.839 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-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 [ 7%] tests/compute/test_heterograph.py::test_query[int64] server: #clients=5 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:51:48] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:51:48] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21763]... 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] server: #clients=5 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:51:49] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:51:49] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21766]... 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] server: #clients=5 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:51:50] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:51:50] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21769]... 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] [03:51:51] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:51:51] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g1] [03:51:52] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:51:52] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:51:52] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:51:52] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:51:52] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:51:52] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:51:52] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:51:52] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g0] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g1] PASSED [ 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 [ 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 [ 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 [ 7%] tests/compute/test_heterograph.py::test_inc[int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_view[int32] 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 [ 7%] tests/compute/test_heterograph.py::test_view[int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[int32] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g1] Client [2321] waits on 172.17.0.2:54887 Client [2328] waits on 172.17.0.2:53453 Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Client [2327] waits on 172.17.0.2:48131 Machine (0) group (0) client (2) connect to server successfuly! Client [2326] waits on 172.17.0.2:37711 Client [2325] waits on 172.17.0.2:41157 Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4499@3/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 [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g0] Client[4] in group[0] is exiting... Client[1] in group[0] is exiting... 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[0] in group[0] is exiting... 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] Client[2] in group[0] is exiting... PASSED [ 7%] tests/compute/test_heterograph.py::test_view1[int64] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g0] Client[3] in group[0] is exiting... 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] 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 [ 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 (0) shutdown. Server is exiting... Server (1) shutdown.Server (2) shutdown. Server is exiting... Server is exiting... 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 [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g0] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csr] PASSED [ 21%]PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g1] 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g0] 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g1] PASSED [ 22%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] PASSED [ 22%] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[int32] PASSED [ 7%] tests/compute/test_heterograph.py::test_flatten[int64] PASSED [ 7%] tests/compute/test_heterograph.py::test_to_device[int32] SKIPPED (Ne...) [ 7%] tests/compute/test_heterograph.py::test_to_device[int64] SKIPPED (Ne...) [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-int32] SKIPPED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g0-int64] SKIPPED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g1-int32] SKIPPED [ 7%] tests/compute/test_heterograph.py::test_to_device2[g1-int64] SKIPPED [ 7%] tests/compute/test_heterograph.py::test_pin_memory_[int32] SKIPPED (...) [ 8%] tests/compute/test_heterograph.py::test_pin_memory_[int64] SKIPPED (...) 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[ 10%] tests/compute/test_index.py::test_dlpack PASSED [ 10%] tests/compute/test_kernel.py::test_copy_src_reduce PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-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 [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-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] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g1] PASSED [ 30%] 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Convert a graph into a bidirected graph: 0.018 seconds, peak memory: 1.839 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.839 GB [03:52:14] /root/jenkins/workspace/dgl_PR-4499/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 151629 edge cuts Metis partitioning: 0.189 seconds, peak memory: 1.839 GB Assigning nodes to METIS partitions takes 0.209s, peak mem: 1.839 GB Reshuffle nodes and edges: 0.022 seconds Split the graph: 0.051 seconds Construct subgraphs: 0.049 seconds Splitting the graph into partitions takes 0.122s, peak mem: 1.839 GB part 0 has 9964 nodes of type n1 and 3135 are inside the partition part 0 has 9963 nodes of type n2 and 3138 are inside the partition part 0 has 9954 nodes of type n3 and 3143 are inside the partition part 0 has 47447 edges of type r1 and 31309 are inside the partition part 0 has 47418 edges of type r2 and 30942 are inside the partition part 0 has 47526 edges of type r3 and 31354 are inside the partition part 1 has 9970 nodes of type n1 and 3432 are inside the partition part 1 has 9972 nodes of type n2 and 3436 are inside the partition part 1 has 9995 nodes of type n3 and 3438 are inside the partition part 1 has 51301 edges of type r1 and 34396 are inside the partition part 1 has 51909 edges of type r2 and 34643 are inside the partition part 1 has 51574 edges of type r3 and 34462 are inside the partition part 2 has 9968 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 9987 nodes of type n3 and 3439 are inside the partition part 2 has 51484 edges of type r1 and 34395 are inside the partition part 2 has 51993 edges of type r2 and 34615 are inside the partition part 2 has 51577 edges of type r3 and 34484 are inside the partition Save partitions: 0.042 seconds, peak memory: 1.839 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=5 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:52:15] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:52:15] /root/jenkins/workspace/dgl_PR-4499/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-4499@3/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 [03:52:16] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:52:16] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21273]... 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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 [03:52:17] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:52:17] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21276]... 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[03:52:18] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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[03:52:18[] 03:52:18/root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc] :/root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc159:: 159Receiver with NetType~: socketReceiver with NetType~ is created.socket is created. [03:52:18] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:52:18] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:52:18] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:52:18] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g1] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g0] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g1] PASSED [ 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] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp0-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp1-g1] PASSED [ 50%] 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tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp4-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp0-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp0-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp1-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp1-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp2-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp3-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp4-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp0-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp0-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp1-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp1-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp2-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp3-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp4-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp0-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp0-g1] Client [2444] waits on 172.17.0.2:59601 Client [2437] waits on 172.17.0.2:49987Client [2441] waits on 172.17.0.2:52569 Client [2442] waits on 172.17.0.2:36639 Client [2443] waits on 172.17.0.2:32953 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! Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4499@3/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 [ 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp2-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp3-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp4-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp0-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g1] Client[2] in group[0] is exiting... Client[3] in group[0] is exiting... 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 [ 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] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp2-g1] PASSED [ 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%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp2-g1] PASSED [ 55%]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] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp4-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp1-g0] Client[1] in group[0] is exiting... 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp4-g1] PASSED [ 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 [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp0-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g1] Client[0] in group[0] is exiting... PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp0-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp2-g1] PASSED [ 61%]PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp3-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp4-g1] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp0-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp3-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp4-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp5-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp0-g1] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp1-g1] PASSED [ 11%] tests/compute/test_kernel.py::test_copy_edge_reduce Client[4] in group[0] is exiting... PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp3-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp3-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp4-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_lhs-shp5-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g1] Server (2) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp5-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g0] PASSED [ 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 [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp0-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp0-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp2-g1] PASSED [ 41%] 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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 [ 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 0.001s, peak mem: 1.839 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.839 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.839 GB [03:52:26] /root/jenkins/workspace/dgl_PR-4499/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: 1.839 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.839 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: 1.839 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: 1.839 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-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%] 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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 [03:52:26] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:52:26] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:29782]... 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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 [03:52:27] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:52:27] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:29785]... 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/root/jenkins/workspace/dgl_PR-4499@3/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 [03:52:28] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:52:28] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:29788]... 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[03:52:29] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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%] 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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 [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp4-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%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-u-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-v-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp0-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-v-e-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp0-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-u-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g0] PASSED [ 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 [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp2-g0] PASSED [ 62%] 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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 [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g1] PASSED [ 63%] 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PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g1] PASSED [ 65%] 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tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp1-g1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g1] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_snr[idtype1] PASSED [ 11%] tests/compute/test_kernel.py::test_all_binary_builtins PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g0] PASSED [ 94%] tests/compute/test_specialization.py::test_v2v_pull[idtype0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g0] PASSED [ 95%] tests/compute/test_specialization.py::test_v2v_pull[idtype1] 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%]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] 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] Client [2543] waits on 172.17.0.2:51095 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4499@3/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 [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] 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] Client[0] in group[0] is exiting... Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... 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 [ 95%] tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] 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] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp3-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp4-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-v-shp4-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g0] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp3-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-u-e-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp3-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-u-shp4-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp0-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp0-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp1-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp1-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp2-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp2-g1] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp3-g0] PASSED [ 75%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp4-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-v-shp4-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp0-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp0-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp1-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp2-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g0] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp3-g1] PASSED [ 76%] tests/compute/test_sparse.py::test_sddmm[idtype1-mul-v-e-shp4-g0] PASSED [ 95%] tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] 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 [ 95%] tests/compute/test_subgraph.py::test_edge_subgraph PASSED [ 95%] tests/compute/test_subgraph.py::test_subgraph 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%]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] 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%]PASSED [ 95%] tests/compute/test_subgraph.py::test_in_subgraph[idtype1] 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 [ 95%] tests/compute/test_subgraph.py::test_out_subgraph[idtype0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[idtype1-div-v-e-shp1-g0] 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] 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 [ 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 [ 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%]PASSED [ 95%] tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype1] 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 [ 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%]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] 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 [ 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 [ 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 [ 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 [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype1] 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%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-v-e-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[idtype1-copy_lhs-e-u-shp4-g1] PASSED [ 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 [ 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 [ 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] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-1-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-8-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-16-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-64-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype0] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype0-0.01-256-idtype1] SKIPPED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-1-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-8-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-16-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-64-idtype1] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype0] PASSED [ 93%] tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype1] PASSED [ 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%] 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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 [ 96%] tests/compute/test_transform.py::test_simple_graph PASSED [ 96%] tests/compute/test_transform.py::test_khop_graph PASSED [ 96%] tests/compute/test_transform.py::test_khop_adj PASSED [ 96%] tests/compute/test_transform.py::test_laplacian_lambda_max PASSED [ 97%] tests/compute/test_transform.py::test_partition_with_halo PASSED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype0] SKIPPED [ 97%] tests/compute/test_transform.py::test_metis_partition[idtype1] SKIPPED [ 97%] tests/compute/test_transform.py::test_reorder_nodes PASSED [ 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-4499@2/python/dgl/backend/backend.py:1741: DeprecationWarning: invalid escape sequence \P """ python/dgl/backend/pytorch/tensor.py:16 python/dgl/backend/pytorch/tensor.py:16 /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/backend/pytorch/tensor.py:16: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(th.__version__) < LooseVersion("1.9.0"): python/dgl/backend/pytorch/tensor.py:340 python/dgl/backend/pytorch/tensor.py:340 /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/backend/pytorch/tensor.py:340: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(th.__version__) >= LooseVersion("1.10.0"): python/dgl/dataloading/dataloader.py:33 /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/dataloading/dataloader.py:33: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(torch.__version__) python/dgl/_dataloading/pytorch/dataloader.py:24 /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/_dataloading/pytorch/dataloader.py:24: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(th.__version__) python/dgl/_dataloading/pytorch/dataloader.py:25 /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/_dataloading/pytorch/dataloader.py:25: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_16 = PYTORCH_VER >= LooseVersion("1.6.0") python/dgl/_dataloading/pytorch/dataloader.py:26 /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/_dataloading/pytorch/dataloader.py:26: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_17 = PYTORCH_VER >= LooseVersion("1.7.0") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _nlv = LooseVersion(_np_version) ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p16 = _nlv < LooseVersion("1.16") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p17 = _nlv < LooseVersion("1.17") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p18 = _nlv < LooseVersion("1.18") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p19 = _nlv < LooseVersion("1.19") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p20 = _nlv < LooseVersion("1.20") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(_np_version) >= LooseVersion("1.17.0"): tests/compute/test_basics.py: 2 warnings tests/compute/test_filter.py: 1 warning tests/compute/test_graph.py: 9 warnings tests/compute/test_kernel.py: 3 warnings tests/compute/test_propagate.py: 2 warnings tests/compute/test_removal.py: 16 warnings tests/compute/test_serialize.py: 3 warnings tests/compute/test_specialization.py: 12 warnings tests/compute/test_subgraph.py: 2 warnings tests/compute/test_transform.py: 10 warnings tests/compute/test_traversal.py: 2 warnings /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/compute/test_basics.py: 2 warnings tests/compute/test_batched_graph.py: 10 warnings tests/compute/test_graph.py: 2 warnings tests/compute/test_kernel.py: 1 warning tests/compute/test_propagate.py: 2 warnings tests/compute/test_removal.py: 10 warnings tests/compute/test_specialization.py: 10 warnings tests/compute/test_subgraph.py: 2 warnings /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@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::test_minigc /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/data/minigc.py:159: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations self.labels = F.tensor(np.array(self.labels).astype(np.int)) tests/compute/test_data.py::test_fraud tests/compute/test_data.py::test_fraud /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/data/fraud.py:206: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations train_mask = np.zeros(N, dtype=np.bool) tests/compute/test_data.py::test_fraud tests/compute/test_data.py::test_fraud /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/data/fraud.py:207: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations val_mask = np.zeros(N, dtype=np.bool) tests/compute/test_data.py::test_fraud tests/compute/test_data.py::test_fraud /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/data/fraud.py:208: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(N, dtype=np.bool) tests/compute/test_data.py::test_fakenews tests/compute/test_data.py::test_fakenews /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/data/fakenews.py:154: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations train_mask = np.zeros(num_graphs, dtype=np.bool) tests/compute/test_data.py::test_fakenews tests/compute/test_data.py::test_fakenews /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/data/fakenews.py:155: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations val_mask = np.zeros(num_graphs, dtype=np.bool) tests/compute/test_data.py::test_fakenews tests/compute/test_data.py::test_fakenews /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/data/fakenews.py:156: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations test_mask = np.zeros(num_graphs, dtype=np.bool) tests/compute/test_data.py::test_citation_graph /root/jenkins/workspace/dgl_PR-4499@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 /root/jenkins/workspace/dgl_PR-4499@2/tests/compute/test_data.py:1194: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations node_ids = np.arange(num_nodes, dtype=np.float) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4499@2/tests/compute/test_data.py:1231: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations src_ids = np.random.randint(num_nodes, size=num_edges).astype(np.float) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4499@2/tests/compute/test_data.py:1232: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations dst_ids = np.random.randint(num_nodes, size=num_edges).astype(np.float) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4499@2/tests/compute/test_data.py:1262: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations graph_ids = np.arange(num_graphs).astype(np.float) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4499@2/tests/compute/test_data.py:513: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations node_ids = np.array([], dtype=np.int) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4499@2/tests/compute/test_data.py:514: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations src_ids = np.array([], dtype=np.int) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4499@2/tests/compute/test_data.py:515: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations dst_ids = np.array([], dtype=np.int) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4499@2/tests/compute/test_data.py:516: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations ngraph_ids = np.array([], dtype=np.int) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4499@2/tests/compute/test_data.py:517: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations egraph_ids = np.array([], dtype=np.int) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4499@2/tests/compute/test_data.py:518: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations u_indices = np.array([], dtype=np.int) tests/compute/test_data.py::test_csvdataset /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/numpy/lib/arraysetops.py:604: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison mask &= (ar1 != a) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@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-4499@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-4499@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-4499@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-4499@2/tests/compute/test_heterograph.py:1129: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(dst_i)) == nid[dst[i]] tests/compute/test_heterograph.py::test_invertible_conversion[idtype0] tests/compute/test_heterograph.py::test_invertible_conversion[idtype1] tests/compute/test_shared_mem.py::test_single_process[idtype0] tests/compute/test_shared_mem.py::test_single_process[idtype1] /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/heterograph.py:2635: DGLWarning: DGLGraph.is_readonly is deprecated in v0.5. DGLGraph now always supports mutable operations like add_nodes and add_edges. dgl_warning('DGLGraph.is_readonly is deprecated in v0.5.\n' tests/compute/test_heterograph.py::test_types_in_function[idtype0] tests/compute/test_heterograph.py::test_types_in_function[idtype1] /root/jenkins/workspace/dgl_PR-4499@2/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-4499@2/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-4499@2/python/dgl/batch.py:511: DGLWarning: From v0.5, DGLHeteroGraph is merged into DGLGraph. You can safely replace dgl.batch_hetero with dgl.batch dgl_warning('From v0.5, DGLHeteroGraph is merged into DGLGraph. You can safely' tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/contrib/sampling/sampler.py:317: DGLWarning: dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5. Please read our guide for how to use the new sampling APIs. dgl_warning('dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5.' tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_layer_sampler tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@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-4499@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-4499@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.') tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] /root/jenkins/workspace/dgl_PR-4499@2/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-4499@2/pytest_compute.xml - ============================ slowest 100 durations ============================= 70.82s call tests/compute/test_data.py::test_reddit 42.16s call tests/compute/test_kernel.py::test_all_binary_builtins 28.76s call tests/compute/test_data.py::test_fakenews 27.36s call tests/compute/test_data.py::test_as_graphpred 22.74s call tests/compute/test_data.py::test_as_graphpred_ogb 21.37s call tests/compute/test_data.py::test_gin 14.97s call tests/compute/test_sampler.py::test_negative_sampler 11.00s call tests/compute/test_data.py::test_as_linkpred_ogb 9.17s call tests/compute/test_data.py::test_explain_syn 8.42s call tests/compute/test_data.py::test_tudataset_regression 8.36s call tests/compute/test_data.py::test_as_graphpred_reprocess 7.38s call tests/compute/test_data.py::test_gnn_benchmark 6.38s call tests/compute/test_data.py::test_as_nodepred_ogb 3.34s call tests/compute/test_data.py::test_wiki_cs 3.25s call tests/compute/test_data.py::test_citation_graph 2.84s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 2.76s call tests/compute/test_data.py::test_fraud 2.56s call tests/compute/test_data.py::test_add_nodepred_split 2.47s call tests/compute/test_kernel.py::test_copy_src_reduce 2.46s call tests/compute/test_graph.py::test_query 2.17s call tests/compute/test_data.py::test_flickr 2.09s call tests/compute/test_transform.py::test_metis_partition[idtype1] 1.82s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 1.73s call tests/compute/test_sampling.py::test_sample_neighbors_prob 1.63s call tests/compute/test_kernel.py::test_copy_edge_reduce 1.40s call tests/compute/test_data.py::test_csvdataset 1.23s call tests/compute/test_heterograph.py::test_forking_pickler 1.18s call tests/compute/test_heterograph.py::test_query[idtype0] 1.18s call tests/compute/test_heterograph.py::test_updates[idtype1] 1.11s call tests/compute/test_heterograph.py::test_query[idtype1] 0.96s call tests/compute/test_heterograph.py::test_level2[idtype1] 0.94s call tests/compute/test_heterograph.py::test_level2[idtype0] 0.83s call tests/compute/test_heterograph.py::test_updates[idtype0] 0.69s call tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g1] 0.63s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g1] 0.62s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g1] 0.60s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] 0.59s call tests/compute/test_transform.py::test_reorder_nodes 0.59s call tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g0] 0.57s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp5-g1] 0.55s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] 0.55s call tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp0-g1] 0.54s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g1] 0.54s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g0] 0.54s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g1] 0.53s call tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g1] 0.53s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g1] 0.52s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g1] 0.52s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp3-g0] 0.52s call tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g1] 0.52s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g1] 0.51s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g1] 0.51s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g1] 0.51s call tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp5-g1] 0.50s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g1] 0.50s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g0] 0.50s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g1] 0.49s call tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g0] 0.49s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g1] 0.49s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] 0.49s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g1] 0.49s call tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g1] 0.49s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g1] 0.48s call tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp4-g1] 0.48s call tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g0] 0.48s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] 0.48s call tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g1] 0.48s call tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g0] 0.48s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp4-g0] 0.48s call tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g1] 0.47s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] 0.47s call tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp3-g0] 0.47s call tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g0] 0.46s call tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp2-g1] 0.46s call tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g0] 0.46s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] 0.45s call tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g1] 0.45s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g0] 0.45s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g0] 0.45s call tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g0] 0.44s call tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp5-g1] 0.44s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g1] 0.44s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp0-g0] 0.44s call tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g1] 0.43s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g0] 0.43s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g1] 0.43s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g1] 0.42s call tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp5-g0] 0.42s call tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g1] 0.42s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g1] 0.42s call tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g0] 0.42s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g0] 0.41s call tests/compute/test_sampling.py::test_non_uniform_random_walk[False] 0.41s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp2-g0] 0.41s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g1] 0.41s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp5-g1] 0.40s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g0] 0.40s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g0] 0.40s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp3-g1] 0.39s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g1] ========== 2382 passed, 53 skipped, 264 warnings in 460.43s (0:07:40) ========== ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4499@2 collecting ... 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] PASSED [ 97%] tests/compute/test_transform.py::test_remove_selfloop[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype0] PASSED [ 97%] tests/compute/test_transform.py::test_reorder_graph[idtype1] PASSED [ 97%] tests/compute/test_transform.py::test_norm_by_dst[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_norm_by_dst[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_remove_self_loop[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_reverse[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_to_simple[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_line_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_khop_graph[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_add_metapaths[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_compose[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_gcnnorm[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_ppr[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype0] PASSED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[idtype1] PASSED [ 98%] tests/compute/test_transform.py::test_module_gdc[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_gdc[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_sign[g0] PASSED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[idtype1] PASSED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype0] PASSED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype0] collected 3675 items tests/pytorch/test_dataloader.py::test_graph_dataloader PASSED [ 0%] tests/pytorch/test_dataloader.py::test_cluster_gcn[0] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[idtype1] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype0] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[idtype1] PASSED [100%] ============================== warnings summary =============================== tests/compute/test_basics.py: 2 warnings tests/compute/test_filter.py: 1 warning tests/compute/test_graph.py: 9 warnings tests/compute/test_kernel.py: 3 warnings tests/compute/test_propagate.py: 2 warnings tests/compute/test_removal.py: 16 warnings tests/compute/test_serialize.py: 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-4499@2\python\dgl\heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/compute/test_basics.py: 2 warnings tests/compute/test_batched_graph.py: 10 warnings tests/compute/test_graph.py: 2 warnings tests/compute/test_kernel.py: 1 warning tests/compute/test_propagate.py: 2 warnings tests/compute/test_removal.py: 10 warnings tests/compute/test_specialization.py: 10 warnings tests/compute/test_subgraph.py: 2 warnings C:\Jenkins\workspace\dgl_PR-4499@2\python\dgl\heterograph.py:354: DGLWarning: DGLGraph.add_edge is deprecated. Please use DGLGraph.add_edges dgl_warning("DGLGraph.add_edge is deprecated. Please use DGLGraph.add_edges") tests/compute/test_basics.py::test_update_all_0deg[idtype0] tests/compute/test_basics.py::test_update_all_0deg[idtype1] tests/compute/test_basics.py::test_pull_0deg[idtype0] tests/compute/test_basics.py::test_pull_0deg[idtype1] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype0] tests/compute/test_propagate.py::test_prop_nodes_topo[idtype1] C:\Jenkins\workspace\dgl_PR-4499@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] C:\Jenkins\workspace\dgl_PR-4499@2\python\dgl\heterograph.py:2978: DGLWarning: DGLGraph.edge_id is deprecated. Please use DGLGraph.edge_ids. dgl_warning("DGLGraph.edge_id is deprecated. Please use DGLGraph.edge_ids.") tests/compute/test_batched_heterograph.py::test_features[idtype0] tests/compute/test_batched_heterograph.py::test_features[idtype1] C:\Jenkins\workspace\dgl_PR-4499@2\python\dgl\batch.py:159: DGLWarning: Arguments edge_attrs has been deprecated. Please use edata instead. dgl_warning('Arguments edge_attrs has been deprecated. Please use' tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype0] tests/compute/test_csrmm.py::test_csrmm[dtype0-idtype1] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype0] tests/compute/test_csrmm.py::test_csrmm[dtype1-idtype1] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype0] tests/compute/test_csrmm.py::test_csrsum[dtype0-idtype1] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype0] tests/compute/test_csrmm.py::test_csrsum[dtype1-idtype1] C:\Jenkins\workspace\dgl_PR-4499@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_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-4499@2\python\dgl\data\citation_graph.py:287: RuntimeWarning: divide by zero encountered in power r_inv = np.power(rowsum, -1).flatten() tests/compute/test_data.py::test_csvdataset c:\program files\python36\lib\site-packages\numpy\lib\arraysetops.py:576: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison mask &= (ar1 != a) tests/compute/test_data.py::test_csvdataset C:\Jenkins\workspace\dgl_PR-4499@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_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-4499@2\python\dgl\heterograph.py:2753: DGLWarning: DGLGraph.has_node is deprecated. Please use DGLGraph.has_nodes dgl_warning("DGLGraph.has_node is deprecated. Please use DGLGraph.has_nodes") tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query C:\Jenkins\workspace\dgl_PR-4499@2\python\dgl\heterograph.py:2687: DGLWarning: DGLGraph.__contains__ is deprecated. Please directly call has_nodes. dgl_warning('DGLGraph.__contains__ is deprecated.' tests/compute/test_graph.py::test_query tests/compute/test_sampling.py::test_non_uniform_random_walk[False] tests/compute/test_sampling.py::test_uniform_random_walk[False] tests/compute/test_sampling.py::test_node2vec tests/compute/test_transform.py::test_no_backtracking C:\Jenkins\workspace\dgl_PR-4499@2\python\dgl\heterograph.py:2851: DGLWarning: DGLGraph.has_edge_between is deprecated. Please use DGLGraph.has_edges_between dgl_warning("DGLGraph.has_edge_between is deprecated. " tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query C:\Jenkins\workspace\dgl_PR-4499@2\python\dgl\heterograph.py:3432: DGLWarning: DGLGraph.in_degree is deprecated. Please use DGLGraph.in_degrees dgl_warning("DGLGraph.in_degree is deprecated. Please use DGLGraph.in_degrees") tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query C:\Jenkins\workspace\dgl_PR-4499@2\python\dgl\heterograph.py:3516: DGLWarning: DGLGraph.out_degree is deprecated. Please use DGLGraph.out_degrees dgl_warning("DGLGraph.out_degree is deprecated. Please use DGLGraph.out_degrees") tests/compute/test_graph.py::test_query C:\Jenkins\workspace\dgl_PR-4499@2\python\dgl\heterograph.py:84: DGLWarning: Keyword arguments ['readonly', 'sort_csr'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_heterograph.py: 20 warnings C:\Jenkins\workspace\dgl_PR-4499@2\tests\compute\test_heterograph.py:1128: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(src_i)) == nid[src[i]] tests/compute/test_heterograph.py: 20 warnings C:\Jenkins\workspace\dgl_PR-4499@2\tests\compute\test_heterograph.py:1129: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(dst_i)) == nid[dst[i]] tests/compute/test_heterograph.py::test_invertible_conversion[idtype0] tests/compute/test_heterograph.py::test_invertible_conversion[idtype1] tests/compute/test_shared_mem.py::test_single_process[idtype0] tests/compute/test_shared_mem.py::test_single_process[idtype1] C:\Jenkins\workspace\dgl_PR-4499@2\python\dgl\heterograph.py:2635: DGLWarning: DGLGraph.is_readonly is deprecated in v0.5. DGLGraph now always supports mutable operations like add_nodes and add_edges. dgl_warning('DGLGraph.is_readonly is deprecated in v0.5.\n' tests/compute/test_heterograph.py::test_types_in_function[idtype0] tests/compute/test_heterograph.py::test_types_in_function[idtype1] C:\Jenkins\workspace\dgl_PR-4499@2\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-4499@2\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-4499@2\python\dgl\batch.py:511: DGLWarning: From v0.5, DGLHeteroGraph is merged into DGLGraph. You can safely replace dgl.batch_hetero with dgl.batch dgl_warning('From v0.5, DGLHeteroGraph is merged into DGLGraph. You can safely' tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler tests/compute/test_sampler.py::test_setseed C:\Jenkins\workspace\dgl_PR-4499@2\python\dgl\contrib\sampling\sampler.py:317: DGLWarning: dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5. Please read our guide for how to use the new sampling APIs. dgl_warning('dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5.' tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_layer_sampler tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler tests/compute/test_sampler.py::test_setseed C:\Jenkins\workspace\dgl_PR-4499@2\python\dgl\_deprecate\nodeflow.py:99: DGLWarning: NodeFlow APIs are deprecated starting from v0.5. Please read our guide for how to use the new sampling APIs. dgl_warning('NodeFlow APIs are deprecated starting from v0.5. Please read our' tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int32] tests/compute/test_sampling.py::test_global_uniform_negative_sampling[int64] C:\Jenkins\workspace\dgl_PR-4499@2\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-4499@2\python\dgl\heterograph.py:84: DGLWarning: Keyword arguments ['readonly'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_serialize.py::test_load_old_files1 tests/compute/test_serialize.py::test_load_old_files2 C:\Jenkins\workspace\dgl_PR-4499@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] C:\Jenkins\workspace\dgl_PR-4499@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] C:\Jenkins\workspace\dgl_PR-4499@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 C:\Jenkins\workspace\dgl_PR-4499@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.') tests/compute/test_transform.py::test_module_random_walk_pe[idtype0] C:\Jenkins\workspace\dgl_PR-4499@2\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-4499@2\pytest_compute.xml -- ============================ slowest 100 durations ============================ 158.05s call tests/compute/test_data.py::test_reddit 80.21s call tests/compute/test_data.py::test_fakenews 78.59s call tests/compute/test_data.py::test_gin 61.13s call tests/compute/test_data.py::test_as_graphpred_ogb 41.42s call tests/compute/test_data.py::test_as_graphpred 40.90s call tests/compute/test_kernel.py::test_all_binary_builtins 33.24s call tests/compute/test_data.py::test_tudataset_regression 20.65s call tests/compute/test_data.py::test_as_graphpred_reprocess 20.09s call tests/compute/test_data.py::test_gnn_benchmark 16.62s call tests/compute/test_sampler.py::test_negative_sampler 14.66s call tests/compute/test_data.py::test_as_linkpred_ogb 8.79s call tests/compute/test_data.py::test_as_nodepred_ogb 7.40s call tests/compute/test_kernel.py::test_copy_edge_reduce 6.90s call tests/compute/test_data.py::test_citation_graph 6.52s call tests/compute/test_data.py::test_fraud 5.40s call tests/compute/test_graph.py::test_query 5.38s call tests/compute/test_data.py::test_explain_syn 5.18s call tests/compute/test_data.py::test_wiki_cs 4.58s call tests/compute/test_data.py::test_flickr 4.52s call tests/compute/test_kernel.py::test_copy_src_reduce 4.15s call tests/compute/test_data.py::test_add_nodepred_split 1.42s call tests/compute/test_shared_mem.py::test_multi_process[idtype0] 1.40s call tests/compute/test_heterograph.py::test_forking_pickler 1.39s call tests/compute/test_shared_mem.py::test_multi_process[idtype1] 1.21s call tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype0] 1.14s call tests/compute/test_new_update_all_hetero.py::test_binary_op[idtype1] 1.12s call tests/compute/test_transform.py::test_reorder_nodes 0.93s call tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype0] 0.84s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype0] 0.82s call tests/compute/test_apply_edges_hetero.py::test_binary_op[idtype1] 0.79s call tests/compute/test_heterograph.py::test_query[idtype1] 0.76s call tests/compute/test_data.py::test_csvdataset 0.73s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 0.56s call tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[idtype1] 0.54s call tests/compute/test_heterograph.py::test_query[idtype0] 0.52s call tests/compute/test_data.py::test_as_nodepred2 0.51s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 0.46s call tests/compute/test_sampling.py::test_sample_neighbors_prob 0.42s call tests/compute/test_heterograph.py::test_view1[idtype0] 0.30s call tests/compute/test_data.py::test_as_nodepred1 0.27s call tests/compute/test_heterograph.py::test_level2[idtype0] 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] 0.22s call tests/compute/test_edge_softmax_hetero.py::test_edge_softmax[idtype1-dst-g0] 0.19s call tests/compute/test_csrmm.py::test_csrmm_backward[2-dtype1-idtype1] 0.19s call tests/compute/test_serialize.py::test_graph_serialize_with_feature[True] 0.19s call tests/compute/test_heterograph.py::test_updates[idtype1] 0.19s call tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite 0.19s call tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype0] 0.18s call tests/compute/test_graph.py::test_formats 0.18s call tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous 0.18s call tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] 0.18s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 0.18s call tests/compute/test_heterograph.py::test_level2[idtype1] 0.17s call tests/compute/test_data.py::test_as_linkpred 0.17s call tests/compute/test_heterograph.py::test_empty_query[idtype0] 0.17s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] 0.16s call tests/compute/test_edge_softmax_hetero.py::test_edge_softmax_unidirectional 0.16s call tests/compute/test_sort.py::test_sort_with_tag[idtype1] 0.16s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] 0.15s call tests/compute/test_sparse.py::test_gather_mm_idx_b[256-idtype0] 0.15s call tests/compute/test_sort.py::test_sort_with_tag[idtype0] 0.15s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] 0.15s call tests/compute/test_subgraph.py::test_subgraph1[idtype1] 0.15s call tests/compute/test_sparse.py::test_gather_mm_idx_b[256-idtype1] 0.14s call tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype0] 0.14s call tests/compute/test_sparse.py::test_segment_mm[dtype2-0.0001-256-idtype1] 0.14s call tests/compute/test_graph.py::test_hypersparse_query 0.13s call tests/compute/test_generators.py::test_rand_graph 0.12s call tests/compute/test_graph.py::test_ismultigraph 0.12s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] 0.12s call tests/compute/test_specialization.py::test_v2v_update_all[idtype1] 0.12s call tests/compute/test_heterograph.py::test_view1[idtype1] 0.11s call tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[idtype1] 0.11s call tests/compute/test_transform.py::test_remove_nodes[idtype1] 0.11s call tests/compute/test_removal.py::test_node_removal[idtype1] 0.11s call tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp3-g1] 0.10s call tests/compute/test_propagate.py::test_prop_edges_dfs[idtype0] 0.10s call tests/compute/test_specialization.py::test_v2v_pull[idtype0] 0.10s call tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] 0.10s call tests/compute/test_transform.py::test_remove_nodes[idtype0] 0.10s call tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] 0.10s call tests/compute/test_specialization.py::test_v2v_pull[idtype1] 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] 0.09s call tests/compute/test_traversal.py::test_bfs[idtype0] 0.09s call tests/compute/test_specialization.py::test_v2v_snr[idtype0] 0.09s call tests/compute/test_propagate.py::test_prop_edges_dfs[idtype1] 0.09s call tests/compute/test_sampler.py::test_10neighbor_sampler_all 0.09s call tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype0] 0.09s call tests/compute/test_sampler.py::test_prefetch_neighbor_sampler 0.09s call tests/compute/test_traversal.py::test_bfs[idtype1] 0.09s call tests/compute/test_specialization.py::test_v2v_snr[idtype1] 0.08s call tests/compute/test_specialization.py::test_v2v_update_all[idtype0] 0.08s call tests/compute/test_transform.py::test_khop_graph 0.08s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g0] 0.08s call tests/compute/test_sampler.py::test_1neighbor_sampler 0.08s call tests/compute/test_sparse.py::test_segment_mm[dtype1-0.003-256-idtype1] 0.08s call tests/compute/test_subgraph.py::test_subgraph1[idtype0] 0.08s call tests/compute/test_sort.py::test_sort_with_tag_bipartite[idtype0] ========= 2379 passed, 56 skipped, 337 warnings in 698.43s (0:11:38) ========== PASSED [ 0%] tests/pytorch/test_dataloader.py::test_cluster_gcn[4] [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Torch CPU (Win64) Example test) [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa Fetching changes from the remote Git repository Cleaning workspace PASSED [ 0%] tests/pytorch/test_dataloader.py::test_shadow[0] PASSED [ 0%] tests/pytorch/test_dataloader.py::test_shadow[4] > git rev-parse --resolve-git-dir C:\Jenkins\workspace\dgl_PR-4499@2\.git # timeout=10 > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 Fetching without tags PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-0] 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 new personal access key generated by RY220902 > git fetch --no-tags --force --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[node-4] > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse "HEAD^{commit}" # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4499 # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 Converting to homogeneous graph takes 0.009s, peak mem: 1.839 GB Convert a graph into a bidirected graph: 0.016 seconds, peak memory: 1.839 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.839 GB [03:52:47] /root/jenkins/workspace/dgl_PR-4499/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152270 edge cuts Metis partitioning: 0.179 seconds, peak memory: 1.839 GB Assigning nodes to METIS partitions takes 0.197s, peak mem: 1.839 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 0.105s, peak mem: 1.839 GB part 0 has 9950 nodes of type n1 and 3136 are inside the partition part 0 has 9951 nodes of type n2 and 3138 are inside the partition part 0 has 9967 nodes of type n3 and 3140 are inside the partition part 0 has 47226 edges of type r1 and 31048 are inside the partition part 0 has 47637 edges of type r2 and 31339 are inside the partition part 0 has 47644 edges of type r3 and 31427 are inside the partition part 1 has 9968 nodes of type n1 and 3431 are inside the partition part 1 has 9979 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 51697 edges of type r1 and 34358 are inside the partition part 1 has 51566 edges of type r2 and 34219 are inside the partition part 1 has 51622 edges of type r3 and 34384 are inside the partition part 2 has 9965 nodes of type n1 and 3433 are inside the partition part 2 has 9981 nodes of type n2 and 3436 are inside the partition part 2 has 9987 nodes of type n3 and 3440 are inside the partition part 2 has 51743 edges of type r1 and 34694 are inside the partition part 2 has 51994 edges of type r2 and 34642 are inside the partition part 2 has 51741 edges of type r3 and 34489 are inside the partition Save partitions: 0.038 seconds, peak memory: 1.839 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=1 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:52:48] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:52:48] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:18667]... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-0] Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[edge-4] server: #clients=1 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:52:49] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:52:49] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:18670]... [Pipeline] bat PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-0] administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4499@2>git submodule update --recursive --init > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 0%] tests/pytorch/test_dataloader.py::test_saint[walk-4] server: #clients=1 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:52:50] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:52:50] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:18673]... PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-idtype0] PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-idtype1] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[idtype0] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[idtype1] PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_id SKIPPED (NCCL only runs on ...) [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_remainder SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_remainder SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_range SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_range SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_support SKIPPED (NCCL only run...) 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tests/compute/test_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 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] 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 [03:52:51] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:52:51] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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] [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] { PASSED [ 0%] tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype1] [Pipeline] bat administrator@WIN-O7QS55HVSDB C:\Jenkins\workspace\dgl_PR-4499@2>CALL tests\scripts\task_example_test.bat cpu 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 [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_prob PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] C:\Jenkins\workspace\dgl_PR-4499@2\python\dgl\heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tensor([0.0063, 0.0097, 0.0118, 0.0080, 0.0114, 0.0101, 0.0136, 0.0083, 0.0080, 0.0130, 0.0115, 0.0063, 0.0096, 0.0094, 0.0159, 0.0099, 0.0115, 0.0068, 0.0031, 0.0148, 0.0126, 0.0166, 0.0151, 0.0113, 0.0149, 0.0086, 0.0077, 0.0080, 0.0136, 0.0113, 0.0096, 0.0128, 0.0156, 0.0101, 0.0129, 0.0112, 0.0065, 0.0145, 0.0080, 0.0130, 0.0066, 0.0103, 0.0104, 0.0160, 0.0116, 0.0048, 0.0082, 0.0098, 0.0104, 0.0118, 0.0118, 0.0102, 0.0166, 0.0063, 0.0081, 0.0066, 0.0063, 0.0093, 0.0101, 0.0070, 0.0035, 0.0116, 0.0128, 0.0117, 0.0096, 0.0143, 0.0047, 0.0109, 0.0038, 0.0048, 0.0114, 0.0079, 0.0117, 0.0065, 0.0161, 0.0107, 0.0069, 0.0095, 0.0211, 0.0049, 0.0104, 0.0191, 0.0079, 0.0114, 0.0047, 0.0116, 0.0103, 0.0083, 0.0080, 0.0145, 0.0113, 0.0069, 0.0081, 0.0047, 0.0080, 0.0100, 0.0085, 0.0067, 0.0033, 0.0067]) Client [2581] waits on 172.17.0.2:33249 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4499@3/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 [ 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: 1.839 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.839 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.839 GB [03:52:55] /root/jenkins/workspace/dgl_PR-4499/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: 1.839 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.839 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: 1.839 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: 1.839 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-cpu-neighbor-idtype0] server: #clients=5 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:52:56] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:52:56] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:11423]... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] server: #clients=5 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:52:57] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:52:57] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:11426]... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] server: #clients=5 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:52:58] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:52:58] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:11429]... PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] [03:52:59] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:52:59] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 0%] tests/pytorch/test_dataloader.py::test_node_dataloader[False-uva_cuda_indices-full-idtype0] SKIPPED [ 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] [03:53:00] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:53:00] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:53:00] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:53:00] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:53:00] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:53:00] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:53:00] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:53:00] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_outedge PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] Client [2618] waits on 172.17.0.2:59023Client [2616] waits on 172.17.0.2:55513 Client [2615] waits on 172.17.0.2:53121 Client [2617] waits on 172.17.0.2:35441Client [2611] waits on 172.17.0.2:47079 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-4499@3/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... PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] Client[3] in group[0] is exiting... PASSED [ 1%] tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] Client[0] in group[0] is exiting... Client[4] in group[0] is exiting... 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] Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype1] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_topk 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 [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype0] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype0] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[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 [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype1] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_exclude_edges_heteroG[int32] Training with DGL built-in GraphConv module. Downloading C:\Jenkins\workspace\dgl_PR-4499@2\cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip... Extracting file to C:\Jenkins\workspace\dgl_PR-4499@2\cora_v2 Finished data loading and preprocessing. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done saving data into cached files. Training... Epoch 00000 | Loss 1.9459 | Accuracy 0.3340 Epoch 00001 | Loss 1.9390 | Accuracy 0.2980 Epoch 00002 | Loss 1.9321 | Accuracy 0.3100 Epoch 00003 | Loss 1.9224 | Accuracy 0.2920 Epoch 00004 | Loss 1.9181 | Accuracy 0.3180 Epoch 00005 | Loss 1.9041 | Accuracy 0.3920 Epoch 00006 | Loss 1.9007 | Accuracy 0.4980 Epoch 00007 | Loss 1.8888 | Accuracy 0.5500 Epoch 00008 | Loss 1.8809 | Accuracy 0.5540 Epoch 00009 | Loss 1.8653 | Accuracy 0.5800 Epoch 00010 | Loss 1.8580 | Accuracy 0.5980 Epoch 00011 | Loss 1.8455 | Accuracy 0.6260 Epoch 00012 | Loss 1.8294 | Accuracy 0.6400 Epoch 00013 | Loss 1.8197 | Accuracy 0.6480 Epoch 00014 | Loss 1.8068 | Accuracy 0.6600 Epoch 00015 | Loss 1.7969 | Accuracy 0.6800 Epoch 00016 | Loss 1.7874 | Accuracy 0.6940 Epoch 00017 | Loss 1.7702 | Accuracy 0.7020 Epoch 00018 | Loss 1.7583 | Accuracy 0.7060 Epoch 00019 | Loss 1.7475 | Accuracy 0.7140 Epoch 00020 | Loss 1.7236 | Accuracy 0.7300 Epoch 00021 | Loss 1.7169 | Accuracy 0.7340 Epoch 00022 | Loss 1.6922 | Accuracy 0.7320 Epoch 00023 | Loss 1.6903 | Accuracy 0.7320 Epoch 00024 | Loss 1.6652 | Accuracy 0.7460 Epoch 00025 | Loss 1.6615 | Accuracy 0.7400 Epoch 00026 | Loss 1.6157 | Accuracy 0.7420 Epoch 00027 | Loss 1.6058 | Accuracy 0.7420 Epoch 00028 | Loss 1.5995 | Accuracy 0.7480 Epoch 00029 | Loss 1.5718 | Accuracy 0.7500 Epoch 00030 | Loss 1.5565 | Accuracy 0.7580 Epoch 00031 | Loss 1.5388 | Accuracy 0.7600 Epoch 00032 | Loss 1.5223 | Accuracy 0.7640 Epoch 00033 | Loss 1.5079 | Accuracy 0.7600 Epoch 00034 | Loss 1.5057 | Accuracy 0.7660 Epoch 00035 | Loss 1.4480 | Accuracy 0.7680 Epoch 00036 | Loss 1.4379 | Accuracy 0.7720 Epoch 00037 | Loss 1.4121 | Accuracy 0.7700 Epoch 00038 | Loss 1.3979 | Accuracy 0.7640 Epoch 00039 | Loss 1.3591 | Accuracy 0.7620 Epoch 00040 | Loss 1.3689 | Accuracy 0.7640 Epoch 00041 | Loss 1.3304 | Accuracy 0.7660 Epoch 00042 | Loss 1.3271 | Accuracy 0.7620 Epoch 00043 | Loss 1.2871 | Accuracy 0.7600 Epoch 00044 | Loss 1.2994 | Accuracy 0.7620 Epoch 00045 | Loss 1.2531 | Accuracy 0.7660 Epoch 00046 | Loss 1.2450 | Accuracy 0.7660 Epoch 00047 | Loss 1.2166 | Accuracy 0.7700 Epoch 00048 | Loss 1.2142 | Accuracy 0.7800 Epoch 00049 | Loss 1.1901 | Accuracy 0.7780 Epoch 00050 | Loss 1.1394 | Accuracy 0.7780 Epoch 00051 | Loss 1.1264 | Accuracy 0.7840 Epoch 00052 | Loss 1.1323 | Accuracy 0.7880 Epoch 00053 | Loss 1.0787 | Accuracy 0.7840 Epoch 00054 | Loss 1.0666 | Accuracy 0.7860 Epoch 00055 | Loss 1.0791 | Accuracy 0.7880 Epoch 00056 | Loss 1.0233 | Accuracy 0.7900 Epoch 00057 | Loss 1.0334 | Accuracy 0.7880 Epoch 00058 | Loss 1.0050 | Accuracy 0.7860 Epoch 00059 | Loss 0.9689 | Accuracy 0.7880 Epoch 00060 | Loss 0.9571 | Accuracy 0.7900 Epoch 00061 | Loss 0.9953 | Accuracy 0.7940 Epoch 00062 | Loss 0.9341 | Accuracy 0.7920 Epoch 00063 | Loss 0.9438 | Accuracy 0.7900 Epoch 00064 | Loss 0.9152 | Accuracy 0.7920 Epoch 00065 | Loss 0.9341 | Accuracy 0.7900 Epoch 00066 | Loss 0.8841 | Accuracy 0.7880 Epoch 00067 | Loss 0.8477 | Accuracy 0.7860 Epoch 00068 | Loss 0.8471 | Accuracy 0.7960 Epoch 00069 | Loss 0.8861 | Accuracy 0.8000 Epoch 00070 | Loss 0.8118 | Accuracy 0.8000 Epoch 00071 | Loss 0.8446 | Accuracy 0.7960 Epoch 00072 | Loss 0.8245 | Accuracy 0.7960 Epoch 00073 | Loss 0.7641 | Accuracy 0.7960 Epoch 00074 | Loss 0.8008 | Accuracy 0.7960 Epoch 00075 | Loss 0.7569 | Accuracy 0.7860 Epoch 00076 | Loss 0.7207 | Accuracy 0.7860 Epoch 00077 | Loss 0.7482 | Accuracy 0.7900 Epoch 00078 | Loss 0.7293 | Accuracy 0.7900 Epoch 00079 | Loss 0.6787 | Accuracy 0.7820 Epoch 00080 | Loss 0.7260 | Accuracy 0.7820 Epoch 00081 | Loss 0.7140 | Accuracy 0.7860 Epoch 00082 | Loss 0.7191 | Accuracy 0.7860 Epoch 00083 | Loss 0.6764 | Accuracy 0.7860 Epoch 00084 | Loss 0.6404 | Accuracy 0.7940 Epoch 00085 | Loss 0.6935 | Accuracy 0.7960 Epoch 00086 | Loss 0.6761 | Accuracy 0.7920 Epoch 00087 | Loss 0.6408 | Accuracy 0.7940 Epoch 00088 | Loss 0.6955 | Accuracy 0.7940 Epoch 00089 | Loss 0.6417 | Accuracy 0.8060 Epoch 00090 | Loss 0.6321 | Accuracy 0.8060 Epoch 00091 | Loss 0.5830 | Accuracy 0.8060 Epoch 00092 | Loss 0.6148 | Accuracy 0.8060 Epoch 00093 | Loss 0.6451 | Accuracy 0.8020 Epoch 00094 | Loss 0.5926 | Accuracy 0.7980 Epoch 00095 | Loss 0.6251 | Accuracy 0.7920 Epoch 00096 | Loss 0.6271 | Accuracy 0.7960 Epoch 00097 | Loss 0.6256 | Accuracy 0.7920 Epoch 00098 | Loss 0.6140 | Accuracy 0.7920 Epoch 00099 | Loss 0.5700 | Accuracy 0.7880 Epoch 00100 | Loss 0.5782 | Accuracy 0.7860 Epoch 00101 | Loss 0.5782 | Accuracy 0.7880 Epoch 00102 | Loss 0.6115 | Accuracy 0.7860 Epoch 00103 | Loss 0.5491 | Accuracy 0.7900 Epoch 00104 | Loss 0.5540 | Accuracy 0.7920 Epoch 00105 | Loss 0.5429 | Accuracy 0.7960 Epoch 00106 | Loss 0.5602 | Accuracy 0.7960 Epoch 00107 | Loss 0.5544 | Accuracy 0.7980 Epoch 00108 | Loss 0.5632 | Accuracy 0.8000 Epoch 00109 | Loss 0.5492 | Accuracy 0.8000 Epoch 00110 | Loss 0.5179 | Accuracy 0.8020 Epoch 00111 | Loss 0.5158 | Accuracy 0.8020 Epoch 00112 | Loss 0.5294 | Accuracy 0.8040 Epoch 00113 | Loss 0.5057 | Accuracy 0.8000 Epoch 00114 | Loss 0.5331 | Accuracy 0.7900 Epoch 00115 | Loss 0.4927 | Accuracy 0.7860 Epoch 00116 | Loss 0.5488 | Accuracy 0.7860 Epoch 00117 | Loss 0.5155 | Accuracy 0.7880 Epoch 00118 | Loss 0.4956 | Accuracy 0.7860 Epoch 00119 | Loss 0.5057 | Accuracy 0.7900 Epoch 00120 | Loss 0.5003 | Accuracy 0.8020 Epoch 00121 | Loss 0.4965 | Accuracy 0.8000 Epoch 00122 | Loss 0.4620 | Accuracy 0.7980 Epoch 00123 | Loss 0.5193 | Accuracy 0.7980 Epoch 00124 | Loss 0.4862 | Accuracy 0.8040 Epoch 00125 | Loss 0.5177 | Accuracy 0.8020 Epoch 00126 | Loss 0.4518 | Accuracy 0.7980 Epoch 00127 | Loss 0.4906 | Accuracy 0.7960 Epoch 00128 | Loss 0.4902 | Accuracy 0.7960 Epoch 00129 | Loss 0.4761 | Accuracy 0.7980 Epoch 00130 | Loss 0.4883 | Accuracy 0.7920 Epoch 00131 | Loss 0.4527 | Accuracy 0.7900 Epoch 00132 | Loss 0.4764 | Accuracy 0.7900 Epoch 00133 | Loss 0.4439 | Accuracy 0.7980 Epoch 00134 | Loss 0.4341 | Accuracy 0.7960 Epoch 00135 | Loss 0.4823 | Accuracy 0.8000 Epoch 00136 | Loss 0.4325 | Accuracy 0.8020 Epoch 00137 | Loss 0.4744 | Accuracy 0.8000 Epoch 00138 | Loss 0.4233 | Accuracy 0.8000 Epoch 00139 | Loss 0.3912 | Accuracy 0.8020 Epoch 00140 | Loss 0.4350 | Accuracy 0.8000 Epoch 00141 | Loss 0.4320 | Accuracy 0.8000 Epoch 00142 | Loss 0.4278 | Accuracy 0.8020 Epoch 00143 | Loss 0.4178 | Accuracy 0.8020 Epoch 00144 | Loss 0.4272 | Accuracy 0.8020 Epoch 00145 | Loss 0.4021 | Accuracy 0.7960 Epoch 00146 | Loss 0.4014 | Accuracy 0.7980 Epoch 00147 | Loss 0.4255 | Accuracy 0.8000 Epoch 00148 | Loss 0.4496 | Accuracy 0.8020 Epoch 00149 | Loss 0.3859 | Accuracy 0.8040 Epoch 00150 | Loss 0.4223 | Accuracy 0.8060 Epoch 00151 | Loss 0.4131 | Accuracy 0.8040 Epoch 00152 | Loss 0.4121 | Accuracy 0.8020 Epoch 00153 | Loss 0.3813 | Accuracy 0.8060 Epoch 00154 | Loss 0.4241 | Accuracy 0.8040 Epoch 00155 | Loss 0.4293 | Accuracy 0.8060 Epoch 00156 | Loss 0.3775 | Accuracy 0.8020 Epoch 00157 | Loss 0.3903 | Accuracy 0.8000 Epoch 00158 | Loss 0.3856 | Accuracy 0.8040 Epoch 00159 | Loss 0.3688 | Accuracy 0.8020 Epoch 00160 | Loss 0.4166 | Accuracy 0.8060 Epoch 00161 | Loss 0.4287 | Accuracy 0.8080 Epoch 00162 | Loss 0.4115 | Accuracy 0.8060 Epoch 00163 | Loss 0.3691 | Accuracy 0.8040 Epoch 00164 | Loss 0.3991 | Accuracy 0.8060 Epoch 00165 | Loss 0.3651 | Accuracy 0.8060 Epoch 00166 | Loss 0.3797 | Accuracy 0.8060 Epoch 00167 | Loss 0.3735 | Accuracy 0.8080 Epoch 00168 | Loss 0.3652 | Accuracy 0.8040 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] 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 [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_feature[False] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype0] 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 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 0.3526 | Accuracy 0.8020 Epoch 00170 | Loss 0.3734 | Accuracy 0.8020 Epoch 00171 | Loss 0.4015 | Accuracy 0.8040 Epoch 00172 | Loss 0.3805 | Accuracy 0.8060 Epoch 00173 | Loss 0.3895 | Accuracy 0.8000 Epoch 00174 | Loss 0.4027 | Accuracy 0.8000 Epoch 00175 | Loss 0.3660 | Accuracy 0.8060 Epoch 00176 | Loss 0.3508 | Accuracy 0.8060 Epoch 00177 | Loss 0.3605 | Accuracy 0.8040 Epoch 00178 | Loss 0.3444 | Accuracy 0.8040 Epoch 00179 | Loss 0.4326 | Accuracy 0.8040 Epoch 00180 | Loss 0.3810 | Accuracy 0.8020 Epoch 00181 | Loss 0.3559 | Accuracy 0.8020 Epoch 00182 | Loss 0.3423 | Accuracy 0.8020 Epoch 00183 | Loss 0.3204 | Accuracy 0.7960 Epoch 00184 | Loss 0.3747 | Accuracy 0.7980 Epoch 00185 | Loss 0.3704 | Accuracy 0.7980 Epoch 00186 | Loss 0.3630 | Accuracy 0.7980 Epoch 00187 | Loss 0.3578 | Accuracy 0.8000 Epoch 00188 | Loss 0.3944 | Accuracy 0.8000 Epoch 00189 | Loss 0.3472 | Accuracy 0.8020 Epoch 00190 | Loss 0.3394 | Accuracy 0.8000 Epoch 00191 | Loss 0.3584 | Accuracy 0.8040 Epoch 00192 | Loss 0.3645 | Accuracy 0.8040 Epoch 00193 | Loss 0.3417 | Accuracy 0.8000 Epoch 00194 | Loss 0.3637 | Accuracy 0.7980 Epoch 00195 | Loss 0.3657 | Accuracy 0.8000 Epoch 00196 | Loss 0.3636 | Accuracy 0.8000 Epoch 00197 | Loss 0.3585 | Accuracy 0.8020 Epoch 00198 | Loss 0.3515 | Accuracy 0.7980 Epoch 00199 | Loss 0.3649 | Accuracy 0.7980 Testing... Test accuracy 0.8100 [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage Post stage 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] [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag[idtype1] PASSED [ 2%] tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-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 [ 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 [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp1-g0] 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] [WS-CLEANUP] done [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } 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 [ 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 [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g0] Converting to homogeneous graph takes 0.011s, peak mem: 1.839 GB Convert a graph into a bidirected graph: 0.018 seconds, peak memory: 1.839 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.839 GB [03:53:23] /root/jenkins/workspace/dgl_PR-4499/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152270 edge cuts Metis partitioning: 0.189 seconds, peak memory: 1.839 GB Assigning nodes to METIS partitions takes 0.209s, peak mem: 1.839 GB Reshuffle nodes and edges: 0.017 seconds Split the graph: 0.052 seconds Construct subgraphs: 0.048 seconds Splitting the graph into partitions takes 0.118s, peak mem: 1.839 GB part 0 has 9950 nodes of type n1 and 3136 are inside the partition part 0 has 9951 nodes of type n2 and 3138 are inside the partition part 0 has 9967 nodes of type n3 and 3140 are inside the partition part 0 has 47226 edges of type r1 and 31048 are inside the partition part 0 has 47637 edges of type r2 and 31339 are inside the partition part 0 has 47644 edges of type r3 and 31427 are inside the partition part 1 has 9968 nodes of type n1 and 3431 are inside the partition part 1 has 9979 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 51697 edges of type r1 and 34358 are inside the partition part 1 has 51566 edges of type r2 and 34219 are inside the partition part 1 has 51622 edges of type r3 and 34384 are inside the partition part 2 has 9965 nodes of type n1 and 3433 are inside the partition part 2 has 9981 nodes of type n2 and 3436 are inside the partition part 2 has 9987 nodes of type n3 and 3440 are inside the partition part 2 has 51743 edges of type r1 and 34694 are inside the partition part 2 has 51994 edges of type r2 and 34642 are inside the partition part 2 has 51741 edges of type r3 and 34489 are inside the partition Save partitions: 0.042 seconds, peak memory: 1.839 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=5 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:53:24] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:53:24] /root/jenkins/workspace/dgl_PR-4499/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-4499@3/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 [03:53:25] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:53:25] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:25057]... PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype1] server: #clients=5 /root/jenkins/workspace/dgl_PR-4499@3/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-shp3-g1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype0] load test_sampling start graph service on server 2 for part 2 [03:53:26] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:53:26] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:25060]... PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g0] [03:53:27] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:53:27] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g1] [[03:53:28] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc03:53:28:] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc140:: Sender with NetType~140socket: is created.Sender with NetType~ socket is created. [03:53:28[] 03:53:28/root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc] :/root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc159:: 159Receiver with NetType~: socketReceiver with NetType~ is created.socket is created. [03:53:28] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:53:28] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:53:28] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:53:28] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g0] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-neighbor-idtype1] PASSED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler0-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler1-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-uva-neg_sampler2-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler0-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler1-neighbor-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-full-idtype1] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype0] SKIPPED [ 3%] tests/pytorch/test_dataloader.py::test_edge_dataloader[True-pure_gpu-neg_sampler2-neighbor-idtype1] SKIPPED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp5-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g0] Client [2731] waits on 172.17.0.2:57163Client [2733] waits on 172.17.0.2:54479 Client [2732] waits on 172.17.0.2:34921 Client [2734] waits on 172.17.0.2:53713 Client [2727] waits on 172.17.0.2:43379 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly!Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4499@3/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[4] in group[0] is exiting... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp1-g1] Client[0] in group[0] is exiting... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g0] Client[3] in group[0] is exiting... Client[2] in group[0] is exiting... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp2-g1] Server (0) shutdown. Server is exiting... Server (1) shutdown.Server (2) shutdown. Server is exiting... Server is exiting... 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 [ 54%] tests/distributed/test_mp_dataloader.py::test_neg_dataloader[0-3] NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Converting to homogeneous graph takes 0.001s, peak mem: 1.839 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.839 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.839 GB [03:53:35] /root/jenkins/workspace/dgl_PR-4499/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: 1.839 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.839 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: 1.839 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: 1.839 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g0] server: #clients=1 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:53:36] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:53:36] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:27571]... PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g1] server: #clients=1 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:53:37] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:53:37] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:27574]... 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] server: #clients=1 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:53:38] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:53:38] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:27577]... PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-mul-shp0-g0] [03:53:39] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:53:39] /root/jenkins/workspace/dgl_PR-4499/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] Client [2833] waits on 172.17.0.2:33473 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4499@3/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 [ 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 [ 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 [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g1] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-self-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-self-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_id-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_id-True] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-False] PASSED [ 4%] tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-reverse_types-True] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp3-g0] 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 [ 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] Converting to homogeneous graph takes 0.009s, peak mem: 1.839 GB Convert a graph into a bidirected graph: 0.016 seconds, peak memory: 1.839 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.839 GB [03:53:56] /root/jenkins/workspace/dgl_PR-4499/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152082 edge cuts Metis partitioning: 0.177 seconds, peak memory: 1.839 GB Assigning nodes to METIS partitions takes 0.194s, peak mem: 1.839 GB Reshuffle nodes and edges: 0.016 seconds Split the graph: 0.044 seconds Construct subgraphs: 0.044 seconds Splitting the graph into partitions takes 0.104s, peak mem: 1.839 GB part 0 has 9952 nodes of type n1 and 3134 are inside the partition part 0 has 9960 nodes of type n2 and 3138 are inside the partition part 0 has 9968 nodes of type n3 and 3140 are inside the partition part 0 has 47592 edges of type r1 and 31415 are inside the partition part 0 has 47532 edges of type r2 and 31350 are inside the partition part 0 has 47734 edges of type r3 and 31480 are inside the partition part 1 has 9964 nodes of type n1 and 3433 are inside the partition part 1 has 9997 nodes of type n2 and 3436 are inside the partition part 1 has 9979 nodes of type n3 and 3440 are inside the partition part 1 has 51420 edges of type r1 and 34172 are inside the partition part 1 has 51668 edges of type r2 and 34287 are inside the partition part 1 has 51709 edges of type r3 and 34553 are inside the partition part 2 has 9971 nodes of type n1 and 3433 are inside the partition part 2 has 9984 nodes of type n2 and 3436 are inside the partition part 2 has 9991 nodes of type n3 and 3440 are inside the partition part 2 has 51746 edges of type r1 and 34513 are inside the partition part 2 has 51741 edges of type r2 and 34563 are inside the partition part 2 has 51540 edges of type r3 and 34267 are inside the partition Save partitions: 0.039 seconds, peak memory: 1.839 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. server: #clients=1 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:53:57] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:53:57] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:14090]... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp1-g1] server: #clients=1 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:53:58] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:53:58] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:14093]... PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp2-g0] server: #clients=1 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:53:59] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:53:59] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:14096]... 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] [03:54:00] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:54:00] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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] Client [2871] waits on 172.17.0.2:44413 Machine (0) group (0) client (0) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4499@3/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 [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g1] Client[0] in group[0] is exiting... 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] Server (2) shutdown. Server is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. 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 0.002s, peak mem: 1.839 GB Convert a graph into a bidirected graph: 0.001 seconds, peak memory: 1.839 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.839 GB [03:54:06] /root/jenkins/workspace/dgl_PR-4499/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: 1.839 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.839 GB Reshuffle nodes and edges: 0.001 seconds Split the graph: 0.003 seconds Construct subgraphs: 0.005 seconds Splitting the graph into partitions takes 0.009s, peak mem: 1.839 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: 0.028 seconds, peak memory: 1.839 GB There are 10556 edges in the graph and 0 edge cuts for 3 partitions. 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] server: #clients=5 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:54:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:54:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:22403]... 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] server: #clients=5 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:54:08] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:54:08] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:22406]... server: #clients=5 /root/jenkins/workspace/dgl_PR-4499@3/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 [03:54:09] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:54:09] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:22409]... 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] [03:54:10] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:54:10] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp4-g0] [03:54:11] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:54:11] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:54:11] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:54:11] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:54:11] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:54:11] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:54:11] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:54:11] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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] Client [2901] waits on 172.17.0.2:57853 Client [2909] waits on 172.17.0.2:43859 Client [2908] waits on 172.17.0.2:55541 Client [2907] waits on 172.17.0.2:39963 Client [2910] waits on 172.17.0.2:50839 Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly!Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4499@3/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[4] in group[0] is exiting... Client[0] in group[0] is exiting... 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 Client[3] in group[0] is exiting... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g0] 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] Client[1] in group[0] is exiting... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g1] 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] Client[2] in group[0] is exiting... 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] Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g0] 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%] 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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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g1] 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/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g0] 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/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g1] 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/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g0] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g1] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g0] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g0] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g1] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g0] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g1] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g0] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp2-g1] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g0] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp3-g1] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp4-g0] PASSED [ 30%] 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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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g0] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp5-g1] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g0] 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp0-g1] 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g0] 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp1-g1] 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] Converting to homogeneous graph takes 0.010s, peak mem: 1.839 GB Convert a graph into a bidirected graph: 0.018 seconds, peak memory: 1.839 GB Construct multi-constraint weights: 0.001 seconds, peak memory: 1.839 GB [03:54:35] /root/jenkins/workspace/dgl_PR-4499/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 30030 nodes and 601200 edges into 3 parts and get 152489 edge cuts Metis partitioning: 0.189 seconds, peak memory: 1.839 GB Assigning nodes to METIS partitions takes 0.208s, peak mem: 1.839 GB Reshuffle nodes and edges: 0.023 seconds Split the graph: 0.053 seconds 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] Construct subgraphs: 0.048 seconds Splitting the graph into partitions takes 0.124s, peak mem: 1.839 GB part 0 has 9951 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 9968 nodes of type n3 and 3143 are inside the partition part 0 has 47377 edges of type r1 and 31327 are inside the partition part 0 has 47490 edges of type r2 and 31081 are inside the partition part 0 has 47547 edges of type r3 and 31293 are inside the partition part 1 has 9978 nodes of type n1 and 3433 are inside the partition part 1 has 9971 nodes of type n2 and 3436 are inside the partition part 1 has 9994 nodes of type n3 and 3437 are inside the partition part 1 has 51635 edges of type r1 and 34418 are inside the partition part 1 has 51932 edges of type r2 and 34516 are inside the partition part 1 has 51928 edges of type r3 and 34500 are inside the partition part 2 has 9968 nodes of type n1 and 3433 are inside the partition part 2 has 9989 nodes of type n2 and 3436 are inside the partition part 2 has 9978 nodes of type n3 and 3440 are inside the partition part 2 has 51572 edges of type r1 and 34355 are inside the partition part 2 has 51992 edges of type r2 and 34603 are inside the partition part 2 has 51616 edges of type r3 and 34507 are inside the partition Save partitions: 0.042 seconds, peak memory: 1.839 GB There are 300600 edges in the graph and 0 edge cuts for 3 partitions. 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%] 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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 [03:54:36] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:54:36] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:12582]... PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp2-g1] 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%] 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/root/jenkins/workspace/dgl_PR-4499@3/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 [03:54:37] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:54:37] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:12585]... PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g0] 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g1] 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] server: #clients=5 /root/jenkins/workspace/dgl_PR-4499@3/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 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] start graph service on server 2 for part 2 [03:54:38] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:54:38] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:12588]... 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[03:54:39] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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[03:54:40] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:54:40] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:54:40] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:54:40] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:54:40] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:54:40] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:54:40] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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%] 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tests/pytorch/test_nn.py::test_dense_graph_conv[2-g3-none-idtype1] PASSED [ 45%]PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g0] 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%] 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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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp5-g1] 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g0] 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp0-g1] 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g0] 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] Client [3024] waits on 172.17.0.2:33669Client [3026] waits on 172.17.0.2:40257Client [3019] waits on 172.17.0.2:58929Client [3025] waits on 172.17.0.2:40025Client [3023] waits on 172.17.0.2:52445 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! /root/jenkins/workspace/dgl_PR-4499@3/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 [ 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp1-g1] 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] Client[4] in group[0] is exiting... Client[3] in group[0] is exiting... 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] Client[0] in group[0] is exiting... 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g0] 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] Client[1] in group[0] is exiting... 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g1] 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] Client[2] in group[0] is exiting... PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g0-idtype1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype0] Server (1) shutdown. Server (0) shutdown.Server is exiting... Server is exiting... Server (2) shutdown. Server is exiting... PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g1-idtype1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g0] 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 [ 27%] tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] PASSED [ 58%] tests/distributed/test_new_kvstore.py::test_partition_policy PASSED [ 60%] tests/distributed/test_new_kvstore.py::test_kv_store /root/jenkins/workspace/dgl_PR-4499@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)`' /root/jenkins/workspace/dgl_PR-4499@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)`' /root/jenkins/workspace/dgl_PR-4499@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)`' /root/jenkins/workspace/dgl_PR-4499@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)`' Sleep 5 seconds to test client re-connect.Sleep 5 seconds to test client re-connect. [03:54:48] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:54:48] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:54:48] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:54:48] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] 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 [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[1-g4-idtype1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g1] [03:54:53] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:54:53] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:28090]... [03:54:53] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:54:53] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:28089]... 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 [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp2-g0] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] 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 [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] Client [3117] waits on 172.17.0.2:54099 Client [3116] waits on 172.17.0.2:37987 Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly! ['data_2', 'data_1', 'data_0_2', 'data_0', 'data_0_3', 'data_0_1'] ['data_0_2', 'data_1', 'data_2', 'data_0', 'data_0_1', 'data_0_3'] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp5-g0] add... 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] add... Client[0] in group[0] is exiting... Client[1] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 61%] tests/distributed/test_new_kvstore.py::test_kv_multi_role PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g1] /root/jenkins/workspace/dgl_PR-4499@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)`' /root/jenkins/workspace/dgl_PR-4499@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)`' [03:55:00] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:55:00] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:19606]... [03:55:00] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:55:00] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. /root/jenkins/workspace/dgl_PR-4499@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)`' /root/jenkins/workspace/dgl_PR-4499@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)`' [03:55:01] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:55:01] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:19607]... [03:55:01] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:55:01] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] [03:55:01] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:55:01] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:55:01] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:55:01] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:55:01] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:55:01] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:55:01] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:55:01] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] 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] Client [3163] waits on 172.17.0.2:59361 Client [3166] waits on 172.17.0.2:49891 Client [3152] waits on 172.17.0.2:60709 Client [3167] waits on 172.17.0.2:43893 Client [3153] waits on 172.17.0.2:34131Client [3164] waits on 172.17.0.2:47899 Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (1) connect to server successfuly! Machine (0) group (0) client (5) connect to server successfuly! Machine (0) group (0) client (3) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! 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 [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] 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 [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp3-g1] [03:55:11] /root/jenkins/workspace/dgl_PR-4499/src/runtime/semaphore_wrapper.cc:83: sem_timedwait timed out after 5000 milliseconds. [03:55:11] /root/jenkins/workspace/dgl_PR-4499/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 5000 milliseconds. [03:55:11] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 5000 ms. Retrying ... i: 1 role: default trainer rank: 0, global rank: 0 i: 0 role: defaultClient[0] in group[0] is exiting... trainer rank: 1, global rank: 1 Client[5] in group[0] is exiting... Client[3] in group[0] is exiting... Client[4] in group[0] is exiting... PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-add-shp4-g0] Client[2] in group[0] is exiting... Client[1] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 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 [ 63%] tests/distributed/test_partition.py::test_partition Converting to homogeneous graph takes 0.001s, peak mem: 1.839 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.839 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.839 GB [03:55:14] /root/jenkins/workspace/dgl_PR-4499/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: 1.839 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.839 GB Split the graph: 0.001 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.839 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: 1.839 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.000s, peak mem: 1.839 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.839 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.839 GB [03:55:14] /root/jenkins/workspace/dgl_PR-4499/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: 1.839 GB Assigning nodes to METIS partitions takes 0.001s, peak mem: 1.839 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.839 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: 1.839 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.000s, peak mem: 1.839 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.839 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.839 GB [03:55:14] /root/jenkins/workspace/dgl_PR-4499/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1000 nodes and 1997 edges into 32 parts and get 271 edge cuts Metis partitioning: 0.004 seconds, peak memory: 1.839 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.839 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.839 GB part 0 has 376 nodes and 250 are inside the partition part 0 has 347 edges and 257 are inside the partition part 1 has 361 nodes and 248 are inside the partition part 1 has 339 edges and 252 are inside the partition part 2 has 374 nodes and 251 are inside the partition part 2 has 346 edges and 259 are inside the partition part 3 has 370 nodes and 251 are inside the partition part 3 has 315 edges and 232 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.839 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.000s, peak mem: 1.839 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.839 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.839 GB [03:55:14] /root/jenkins/workspace/dgl_PR-4499/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: 1.839 GB Assigning nodes to METIS partitions takes 0.002s, peak mem: 1.839 GB Save partitions: 0.001 seconds, peak memory: 1.839 GB There are 1000 edges in the graph and 0 edge cuts for 1 partitions. Converting to homogeneous graph takes 0.000s, peak mem: 1.839 GB Split the graph: 0.001 seconds Construct subgraphs: 0.001 seconds Splitting the graph into partitions takes 0.003s, peak mem: 1.839 GB Calculate edge assignment: 0.000 seconds part 0 has 624 nodes and 248 are inside the partition part 0 has 586 edges and 259 are inside the partition part 1 has 582 nodes and 227 are inside the partition part 1 has 515 edges and 218 are inside the partition part 2 has 601 nodes and 240 are inside the partition part 2 has 538 edges and 232 are inside the partition part 3 has 676 nodes and 285 are inside the partition part 3 has 629 edges and 291 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.839 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.000s, peak mem: 1.839 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.839 GB part 0 has 641 nodes and 261 are inside the partition part 0 has 584 edges and 254 are inside the partition part 1 has 601 nodes and 241 are inside the partition part 1 has 560 edges and 245 are inside the partition part 2 has 622 nodes and 251 are inside the partition part 2 has 565 edges and 261 are inside the partition part 3 has 611 nodes and 247 are inside the partition part 3 has 557 edges and 240 are inside the partition Save partitions: 0.003 seconds, peak memory: 1.839 GB There are 1000 edges in the graph and 0 edge cuts for 4 partitions. Converting to homogeneous graph takes 0.000s, peak mem: 1.839 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.839 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.839 GB [03:55:14] /root/jenkins/workspace/dgl_PR-4499/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 1000 nodes and 1997 edges into 32 parts and get 271 edge cuts Metis partitioning: 0.003 seconds, peak memory: 1.839 GB Assigning nodes to METIS partitions takes 0.004s, peak mem: 1.839 GB Reshuffle nodes and edges: 0.000 seconds Split the graph: 0.001 seconds Construct subgraphs: 0.003 seconds Splitting the graph into partitions takes 0.004s, peak mem: 1.839 GB part 0 has 376 nodes and 250 are inside the partition part 0 has 347 edges and 257 are inside the partition part 1 has 361 nodes and 248 are inside the partition part 1 has 339 edges and 252 are inside the partition part 2 has 374 nodes and 251 are inside the partition part 2 has 346 edges and 259 are inside the partition part 3 has 370 nodes and 251 are inside the partition part 3 has 315 edges and 232 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.839 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 Converting to homogeneous graph takes 0.001s, peak mem: 1.839 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.839 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.839 GB [03:55:14] /root/jenkins/workspace/dgl_PR-4499/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: 0.002 seconds, peak memory: 1.839 GB Assigning nodes to METIS partitions takes 0.003s, peak mem: 1.839 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: 1.839 GB part 0 has 1058 nodes of type item and 972 are inside the partition part 0 has 584 nodes of type user and 485 are inside the partition part 0 has 1516 edges of type like and 1428 are inside the partition part 1 has 1129 nodes of type item and 1027 are inside the partition part 1 has 593 nodes of type user and 515 are inside the partition part 1 has 1681 edges of type like and 1572 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.839 GB There are 3000 edges in the graph and 0 edge cuts for 2 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.839 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.839 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.839 GB [03:55:14] /root/jenkins/workspace/dgl_PR-4499/src/graph/transform/metis_partition_hetero.cc:87: Partition a graph with 2999 nodes and 6000 edges into 8 parts and get 495 edge cuts Metis partitioning: 0.006 seconds, peak memory: 1.839 GB Assigning nodes to METIS partitions takes 0.007s, peak mem: 1.839 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: 1.839 GB part 0 has 1124 nodes of type item and 981 are inside the partition part 0 has 605 nodes of type user and 497 are inside the partition part 0 has 1606 edges of type like and 1452 are inside the partition part 1 has 1139 nodes of type item and 1019 are inside the partition part 1 has 633 nodes of type user and 502 are inside the partition part 1 has 1679 edges of type like and 1548 are inside the partition Save partitions: 0.002 seconds, peak memory: 1.839 GB There are 3000 edges in the graph and 0 edge cuts for 2 partitions. Converting to homogeneous graph takes 0.001s, peak mem: 1.839 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.839 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.839 GB [03:55:14] /root/jenkins/workspace/dgl_PR-4499/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: 0.004 seconds, peak memory: 1.839 GB Assigning nodes to METIS partitions takes 0.005s, peak mem: 1.839 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: 1.839 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: 0.004 seconds, peak memory: 1.839 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: 1.839 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.839 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.839 GB [03:55:14] /root/jenkins/workspace/dgl_PR-4499/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: 0.007 seconds, peak memory: 1.839 GB Assigning nodes to METIS partitions takes 0.009s, peak mem: 1.839 GB Save partitions: 0.001 seconds, peak memory: 1.839 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: 1.839 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.839 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.839 GB [03:55:14] /root/jenkins/workspace/dgl_PR-4499/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: 0.025 seconds, peak memory: 1.839 GB Assigning nodes to METIS partitions takes 0.027s, peak mem: 1.839 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: 1.839 GB PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g0] 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: 0.005 seconds, peak memory: 1.839 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: 1.839 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: 1.839 GB part 0 has 555 nodes of type n1 and 248 are inside the partition part 0 has 553 nodes of type n2 and 246 are inside the partition part 0 has 590 nodes of type n3 and 282 are inside the partition part 0 has 435 edges of type r1 and 243 are inside the partition part 0 has 472 edges of type r2 and 268 are inside the partition part 0 has 454 edges of type r3 and 275 are inside the partition part 1 has 558 nodes of type n1 and 244 are inside the partition part 1 has 558 nodes of type n2 and 257 are inside the partition part 1 has 563 nodes of type n3 and 247 are inside the partition part 1 has 444 edges of type r1 and 260 are inside the partition part 1 has 446 edges of type r2 and 249 are inside the partition part 1 has 453 edges of type r3 and 247 are inside the partition part 2 has 540 nodes of type n1 and 241 are inside the partition part 2 has 547 nodes of type n2 and 235 are inside the partition part 2 has 533 nodes of type n3 and 248 are inside the partition part 2 has 425 edges of type r1 and 238 are inside the partition part 2 has 414 edges of type r2 and 249 are inside the partition part 2 has 450 edges of type r3 and 270 are inside the partition part 3 has 574 nodes of type n1 and 267 are inside the partition part 3 has 547 nodes of type n2 and 272 are inside the partition part 3 has 566 nodes of type n3 and 243 are inside the partition part 3 has 470 edges of type r1 and 269 are inside the partition part 3 has 470 edges of type r2 and 254 are inside the partition part 3 has 451 edges of type r3 and 238 are inside the partition Save partitions: 0.006 seconds, peak memory: 1.839 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: 1.839 GB Convert a graph into a bidirected graph: 0.000 seconds, peak memory: 1.839 GB Construct multi-constraint weights: 0.000 seconds, peak memory: 1.839 GB [03:55:15] /root/jenkins/workspace/dgl_PR-4499/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: 0.025 seconds, peak memory: 1.839 GB Assigning nodes to METIS partitions takes 0.026s, peak mem: 1.839 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: 1.839 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: 0.005 seconds, peak memory: 1.839 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 [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp0-g1] [03:55:16] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:55:16] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Sleep 1 seconds to test client re-connect. PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp1-g1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] Start server 0 [03:55:17] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:55:17] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:21850]... 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 [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[idtype0-max-sub-shp3-g1] 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 [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] Client [3239] waits on 172.17.0.2:33573 Machine (0) group (0) client (0) connect to server successfuly! [03:55:22] /root/jenkins/workspace/dgl_PR-4499/src/runtime/semaphore_wrapper.cc:83: sem_timedwait timed out after 500 milliseconds. [03:55:22] /root/jenkins/workspace/dgl_PR-4499/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 500 milliseconds. [03:55:22] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. 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] [03:55:23] /root/jenkins/workspace/dgl_PR-4499/src/runtime/semaphore_wrapper.cc:83: sem_timedwait timed out after 500 milliseconds. [03:55:23] /root/jenkins/workspace/dgl_PR-4499/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 500 milliseconds. [03:55:23] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. [03:55:24] /root/jenkins/workspace/dgl_PR-4499/src/runtime/semaphore_wrapper.cc:83: sem_timedwait timed out after 500 milliseconds. [03:55:24] /root/jenkins/workspace/dgl_PR-4499/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 500 milliseconds. [03:55:24] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp2-g1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] 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] [03:55:27] /root/jenkins/workspace/dgl_PR-4499/src/runtime/semaphore_wrapper.cc:83: sem_timedwait timed out after 500 milliseconds. [03:55:27] /root/jenkins/workspace/dgl_PR-4499/src/rpc/network/socket_communicator.cc:283: Timed out when trying to receive rpc meta data after 500 milliseconds. [03:55:27] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. Client[0] in group[0] is exiting... PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-mul-shp4-g1] PASSED [ 52%] tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] 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] Server (0) shutdown. Server is exiting... PASSED [ 72%] tests/distributed/test_rpc.py::test_rpc_timeout[tensorpipe] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g0] [03:55:31] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:55:31] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [03:55:31] /root/jenkins/workspace/dgl_PR-4499/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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp0-g1] Start server 0 [03:55:32] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:55:32] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.2:28918]... [03:55:32] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:28918]. 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g0] 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp1-g1] 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 [ 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PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g0] 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp2-g1] 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%] 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Client [3259] waits on 172.17.0.2:46291 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%] 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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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp4-g1] 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] Machine (0) group (0) client (0) connect to server successfuly! 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g0] [03:55:37] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/./queue.h:43: Times out for popping message after 500 milliseconds. [03:55:37] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-div-shp5-g1] 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] [03:55:38] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/./queue.h:43: Times out for popping message after 500 milliseconds. [03:55:38] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g0] 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] [03:55:39] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/./queue.h:43: Times out for popping message after 500 milliseconds. [03:55:39] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. 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 [ 30%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp0-g1] 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g0] 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp1-g1] 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g0] 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp2-g1] 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%]PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g0] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-32] [03:55:42] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/./queue.h:43: Times out for popping message after 500 milliseconds. [03:55:42] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:84: Recv RPCMessage timeout in 500 ms. Client[0] in group[0] is exiting... 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp3-g1] 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-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 [ 57%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp4-g1] 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] Server (0) shutdown. Server is exiting... PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g0] 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 [ 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g1] 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] Sleep 1 seconds to test client re-connect. [03:55:46] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:55:46] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [03:55:46] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:16300]. 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g0] PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-32] Start server 0 [03:55:47] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:55:47] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.2:16300]... [03:55:47] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:16300]. 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp0-g1] 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g0] 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp1-g1] 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g0] 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] [03:55:49] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:53139]. Client [3281] waits on 172.17.0.2:53139 PASSED [ 58%] tests/pytorch/test_nn.py::test_pna_conv[True-16-4-0.1-7.4-scalers1-aggregators0-16-16] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp2-g1] 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g0] 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp3-g1] 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g0] 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] Machine (0) group (0) client (0) connect to server successfuly! 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g1] 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] Client[0] in group[0] is exiting... 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] Server (0) shutdown. Server is exiting... 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 [ 80%] tests/distributed/test_rpc.py::test_multi_client[socket] PASSED [ 60%] tests/pytorch/test_nn.py::test_pna_conv[True-0-1-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g0] PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-int32] PASSED [ 11%] tests/compute/test_kernel.py::test_mean_zero_degree[g0-int64] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[int32] PASSED [ 11%] tests/compute/test_merge.py::test_heterograph_merge[int64] PASSED [ 11%] tests/compute/test_nccl.py::test_nccl_id SKIPPED (NCCL only runs on ...) [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_remainder SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_remainder SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_push_single_range SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_sparse_pull_single_range SKIPPED [ 11%] tests/compute/test_nccl.py::test_nccl_support SKIPPED (NCCL only run...) [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[int32] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_u[int64] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[int32] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_unary_copy_e[int64] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[int32] SKIPPED [ 11%] tests/compute/test_new_update_all_hetero.py::test_binary_op[int64] SKIPPED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[int32] SKIPPED [ 11%] tests/compute/test_partition.py::test_get_node_partition_from_book[int64] SKIPPED [ 11%] tests/compute/test_pickle.py::test_pickling_index PASSED [ 11%] tests/compute/test_pickle.py::test_pickling_graph_index PASSED [ 11%] tests/compute/test_pickle.py::test_pickling_graph[g0-int32] PASSED [ 11%] tests/compute/test_pickle.py::test_pickling_graph[g0-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g1-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g2-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g3-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g4-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g5-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g6-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g7-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g8-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g9-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g10-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g11-int64] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g12-int32] PASSED [ 12%] tests/compute/test_pickle.py::test_pickling_graph[g12-int64] PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_batched_heterograph PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_subgraph PASSED [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[int32] SKIPPED [ 13%] tests/compute/test_pickle.py::test_pickling_is_pinned[int64] SKIPPED [ 13%] tests/compute/test_pin_memory.py::test_pin_unpin SKIPPED (Need gpu f...) [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[int32] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_bfs[int64] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[int32] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_edges_dfs[int64] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[int32] PASSED [ 13%] tests/compute/test_propagate.py::test_prop_nodes_topo[int64] PASSED [ 13%] tests/compute/test_random.py::test_random_choice PASSED [ 13%] tests/compute/test_readout.py::test_sum_case1[int32] PASSED [ 13%] tests/compute/test_readout.py::test_sum_case1[int64] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g0-int32] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g0-int64] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g1-int32] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g1-int64] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-int32] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g2-int64] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-int32] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g3-int64] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-int32] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g4-int64] PASSED [ 13%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g5-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[sum-g6-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g0-int64] PASSED [ 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 [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-int32] 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] [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [[03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc03:55:54:] 140/root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc: :Sender with NetType~140socket: is created.Sender with NetType~ socket is created. [03:55:54] [/root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc03:55:54:] 159/root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc[: :Receiver with NetType~03:55:54159socket] : is created./root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.ccReceiver with NetType~ :socket140 is created.: Sender with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [[03:55:5403:55:54] ] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc/root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc::140140: : Sender with NetType~Sender with NetType~socketsocket is created. is created. [[03:55:5403:55:54] ] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc/root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc::159159: : Receiver with NetType~Receiver with NetType~socketsocket is created. is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Sleep 1 seconds to test client re-connect. PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g1-int64] 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] [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g2-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-int32] PASSED [ 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] [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:55:54] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g3-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-int32] PASSED [ 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 [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g4-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g5-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-int32] PASSED [ 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] Start server 0 [03:55:55] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:55:55] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:12279]... PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[max-g6-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-int32] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g0-int64] PASSED [ 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%]PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-int32] 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp0-g1] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g1-int64] 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 [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-int32] 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 [ 31%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g0] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g2-int64] PASSED [ 14%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-int32] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g3-int64] 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 [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g4-int32] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g4-int64] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g5-int32] PASSED [ 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 [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g5-int64] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g6-int32] PASSED [ 15%] tests/compute/test_readout.py::test_reduce_readout[mean-g6-int64] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp1-g1] 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 [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g0-int32] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g0-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g1-int32] PASSED [ 61%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g1-int64] 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 [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g2-int32] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g2-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g3-int32] PASSED [ 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 [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g3-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g4-int32] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g4-int64] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp2-g1] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g5-int32] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g5-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-int32] PASSED [ 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 [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[sum-g6-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-int32] PASSED [ 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 [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g0] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g0-int64] PASSED [ 15%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g1-int64] 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 [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp3-g1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g2-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g3-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[max-g3-int64] PASSED [ 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 [ 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 [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-16] 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 [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-32] 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 [ 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 [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g0] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g0-int64] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-16] Client [3307] waits on 172.17.0.2:57563Client [3328] waits on 172.17.0.2:50027Client [3303] waits on 172.17.0.2:57527 Client [3306] waits on 172.17.0.2:35689Client [3301] waits on 172.17.0.2:35603 Client [3299] waits on 172.17.0.2:40843 Client [3305] waits on 172.17.0.2:41945 Client [3318] waits on 172.17.0.2:48973 Client [3300] waits on 172.17.0.2:41161 Client [3324] waits on 172.17.0.2:33225Client [3313] waits on 172.17.0.2:33975Client [3322] waits on 172.17.0.2:37843 Client [3304] waits on 172.17.0.2:37137 Client [3310] waits on 172.17.0.2:33671 Client [3308] waits on 172.17.0.2:41395 Client [3316] waits on 172.17.0.2:43875 Client [3321] waits on 172.17.0.2:36479 Client [3302] waits on 172.17.0.2:59329 Client [3325] waits on 172.17.0.2:38355 Client [3309] waits on 172.17.0.2:39607 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 (13) connect to server successfuly! Machine (0) group (0) client (5) connect to server successfuly! Machine (0) group (0) client (6) connect to server successfuly! Machine (0) group (0) client (11) connect to server successfuly! Machine (0) group (0) client (12) connect to server successfuly! Machine (0) group (0) client (17) connect to server successfuly! Machine (0) group (0) client (16) connect to server successfuly! Machine (0) group (0) client (0) connect to server successfuly!Machine (0) group (0) client (14) connect to server successfuly! Machine (0) group (0) client (7) connect to server successfuly!Machine (0) group (0) client (15) connect to server successfuly! Machine (0) group (0) client (4) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly!Machine (0) group (0) client (8) 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 (18) connect to server successfuly! Machine (0) group (0) client (19) connect to server successfuly! PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g1-int32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g1] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g1-int64] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-16] Client[13] in group[0] is exiting... Client[11] in group[0] is exiting... Client[12] in group[0] is exiting... Client[15] in group[0] is exiting... Client[16] in group[0] is exiting... Client[9] in group[0] is exiting... Client[18] in group[0] is exiting... Client[14] in group[0] is exiting... Client[6] in group[0] is exiting... Client[7] in group[0] is exiting...Client[17] in group[0] is exiting... Client[19] in group[0] is exiting... Client[3] in group[0] is exiting... Client[8] in group[0] is exiting... Client[0] in group[0] is exiting... Client[2] in group[0] is exiting... Client[10] in group[0] is exiting... Client[4] in group[0] is exiting... Client[5] in group[0] is exiting... Client[1] in group[0] is exiting... PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g2-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g3-int32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-g0] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators0-16-32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g3-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-int32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp5-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 [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g4-int64] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-int32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-16-16] Server (0) shutdown. Server is exiting... PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g5-int64] 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 [ 81%] tests/distributed/test_rpc.py::test_multi_client[tensorpipe] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-int32] PASSED [ 16%] tests/compute/test_readout.py::test_weighted_reduce_readout[mean-g6-int64] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators1-32-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g0] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-16] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-int32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g0-int64] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-32-16] [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc[:03:56:04159] : /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.ccReceiver with NetType~:tensorpipe37 is created.: Failed to connect to receiver[tcp://172.17.0.2:11501]. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Sleep 1 seconds to test client re-connect. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [03:56:04] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:11501]. PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g1-int32] 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 [ 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 [ 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 [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g0] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-int32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g3-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[True-g4-int32] PASSED [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp1-g1] 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 [ 62%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers1-aggregators1-16-32] Start server 0 [03:56:05] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:05] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.2:11501]... [03:56:05] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:11501]. 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 [ 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 [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g0] 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 [ 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 [ 17%] tests/compute/test_readout.py::test_topk[False-g0-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-int32] 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 [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp2-g1] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g1-int64] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-16-16] 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 [ 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 [ 17%] tests/compute/test_readout.py::test_topk[False-g3-int32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators0-32-32] [[03:56:07] 03:56:07/root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc] :/root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc108:: 108TPReceiver starts to wait on [: tcp://172.17.0.2:42227TPReceiver starts to wait on [].tcp://172.17.0.2:51677 ]. Client [3449] waits on 172.17.0.2:42227Client [3448] waits on 172.17.0.2:51677 [03:56:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:38179]. [Client [3450] waits on 172.17.0.2:3817903:56:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:51571]. Client [3451] waits on 172.17.0.2:51571 [03:56:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:51445]. Client [3457] waits on 172.17.0.2:51445 [03:56:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:54689]. Client [3456] waits on 172.17.0.2:54689 PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g3-int64] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g4-int32] PASSED [ 17%] tests/compute/test_readout.py::test_topk[False-g4-int64] PASSED [ 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] [03:56:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:44807]. Client [3459] waits on 172.17.0.2:44807 [03:56:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:47361]. Client [3469] waits on 172.17.0.2:47361 [03:56:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:34253]. Client [3458] waits on 172.17.0.2:34253 [03:56:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:40435]. [03:56:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:34285]. Client [3453] waits on 172.17.0.2:34285 Client [3454] waits on 172.17.0.2:40435 [03:56:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:34281]. Client [3463] waits on 172.17.0.2:34281 [03:56:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:53475]. Client [3455] waits on 172.17.0.2:53475 [03:56:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:40723]. Client [3474] waits on 172.17.0.2:40723 [03:56:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:49515]. Client [3465] waits on 172.17.0.2:49515 [03:56:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:42443]. Client [3472] waits on 172.17.0.2:42443 [03:56:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:40125]. Client [3462] waits on 172.17.0.2:40125 [03:56:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:48289]. Client [3460] waits on 172.17.0.2:48289 [03:56:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:53767]. Client [3452] waits on 172.17.0.2:53767 [03:56:07] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:50561]. Client [3461] waits on 172.17.0.2:50561 PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g0] PASSED [ 18%] tests/compute/test_readout.py::test_topk[False-g5-int32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp3-g1] 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 [ 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 [ 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 [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers0-aggregators2-16-32] 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 [ 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 [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g0] 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 [ 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 [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp4-g1] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g5-int64] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-int32] PASSED [ 18%] tests/compute/test_readout.py::test_softmax[g6-int64] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-int32] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g0-int64] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-int32] PASSED [ 18%] tests/compute/test_readout.py::test_broadcast[g1-int64] PASSED [ 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 [ 18%] tests/compute/test_readout.py::test_broadcast[g2-int32] PASSED [ 18%] 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 [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators1-16-16] 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 [ 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 [ 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 [ 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 [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g0] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[int32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp5-g1] PASSED [ 19%] tests/compute/test_removal.py::test_edge_removal[int64] 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] 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 (7) connect to server successfuly! Machine (0) group (0) client (6) connect to server successfuly! Machine (0) group (0) client (8) connect to server successfuly!Machine (0) group (0) client (0) connect to server successfuly! Machine (0) group (0) client (9) connect to server successfuly!Machine (0) group (0) client (11) connect to server successfuly! Machine (0) group (0) client (12) connect to server successfuly!Machine (0) group (0) client (10) connect to server successfuly! Machine (0) group (0) client (16) connect to server successfuly! Machine (0) group (0) client (2) connect to server successfuly! Machine (0) group (0) client (13) connect to server successfuly! Machine (0) group (0) client (5) connect to server successfuly! Machine (0) group (0) client (14) 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 (17) connect to server successfuly! Machine (0) group (0) client (19) connect to server successfuly! PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[int32] PASSED [ 63%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g0] 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 [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp0-g1] 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 [ 32%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g0] PASSED [ 19%] tests/compute/test_removal.py::test_node_and_edge_removal[int64] 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 [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp1-g1] 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 [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g0] 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] Client[7] in group[0] is exiting... Client[4] in group[0] is exiting... Client[8] in group[0] is exiting... PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp2-g1] Client[3] in group[0] is exiting... Client[1] in group[0] is exiting... Client[6] in group[0] is exiting... Client[2] in group[0] is exiting... Client[11] in group[0] is exiting... Client[9] in group[0] is exiting... Client[12] in group[0] is exiting... Client[10] in group[0] is exiting... Client[0] in group[0] is exiting... Client[13] in group[0] is exiting... PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-16] Client[16] in group[0] is exiting... Client[17] in group[0] is exiting... Client[14] in group[0] is exiting... Client[19] in group[0] is exiting... PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators0-32-32] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[int32] PASSED [ 19%] tests/compute/test_removal.py::test_node_frame[int64] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[int32] PASSED [ 19%] tests/compute/test_removal.py::test_edge_frame[int64] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[int32] PASSED [ 19%] tests/compute/test_removal.py::test_issue1287[int64] PASSED [ 20%] tests/compute/test_sampler.py::test_create_full Client[15] in group[0] is exiting... Client[5] in group[0] is exiting... Client[18] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler_all 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 [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g0] PASSED [ 83%] tests/distributed/test_rpc.py::test_multi_thread_rpc[socket] [03:56:15] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:56:15] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 [ 20%] tests/compute/test_sampler.py::test_1neighbor_sampler 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 [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp3-g1] PASSED [ 64%] tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.1-7.4-scalers1-aggregators2-32-32] Sleep 1 seconds to test client re-connect. Sleep 1 seconds to test client re-connect. PASSED [ 20%] tests/compute/test_sampler.py::test_prefetch_neighbor_sampler 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 [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-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 [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp4-g1] 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] Start server 0 [03:56:16] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:56:16] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:17467]... Start server 1 [03:56:16] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:56:16] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:17469]... 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 [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g0] PASSED [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler_all PASSED [ 20%] tests/compute/test_sampler.py::test_10neighbor_sampler 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 [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-mul-shp5-g1] 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 [ 20%] tests/compute/test_sampler.py::test_layer_sampler 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 [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g0] 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 [ 20%] tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp0-g1] 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 [ 20%] tests/compute/test_sampler.py::test_setseed PASSED [ 20%] tests/compute/test_sampler.py::test_negative_sampler 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 [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g0] 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 [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp1-g1] 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 [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g0] Client [1084] waits on 172.17.0.2:36815 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 [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 85%] tests/distributed/test_rpc.py::test_multi_thread_rpc[tensorpipe] [03:56:21] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:21] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [03:56:21] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:19482]. 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 [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g1] 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] Sleep 1 seconds to test client re-connect. Sleep 1 seconds to test client re-connect. 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 [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g0] 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 [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp3-g1] Start server 1 [03:56:23] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:23] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.2:19484]... [03:56:23] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:19484]. Start server 0 [03:56:23] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:23] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.2:19482]... [03:56:23] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:19482]. 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 [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g0] 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 [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp4-g1] PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-16] [03:56:24] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:49343]. Client [1084] waits on 172.17.0.2:49343 PASSED [ 67%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-32] PASSED [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g0] 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 [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp5-g1] 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 [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-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 [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp0-g1] 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 [ 33%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g0] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp1-g1] PASSED [ 68%] tests/pytorch/test_nn.py::test_pna_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-32] Machine (0) group (0) client (0) connect to server successfuly! Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... Server (1) shutdown. Server is exiting... PASSED [ 87%] tests/distributed/test_rpc.py::test_multi_client_groups SKIPPED (Tes...) [ 89%] tests/distributed/test_rpc.py::test_multi_client_connect[socket] [03:56:27] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:56:27] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g0] 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp2-g1] 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g0] 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp3-g1] 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-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 [ 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] 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 [ 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp4-g1] 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] Sleep 1 seconds to test client re-connect. [03:56:31] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:56:31] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g0] 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_lhs-shp5-g1] 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] Start server 0 [03:56:32] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~socket is created. [03:56:32] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~socket is created. Server is waiting for connections on [172.17.0.2:12614]... 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 [ 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 [ 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g0] 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp1-g1] 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g0] 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp2-g1] 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g0] 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp3-g1] 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g0] 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] Client [3622] waits on 172.17.0.2:46705 Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 71%] tests/pytorch/test_nn.py::test_pna_conv[False-0-1-0.1-7.4-scalers1-aggregators0-32-16] Client[0] in group[0] is exiting... Server (0) shutdown. Server is exiting... PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g1] 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 [ 90%] tests/distributed/test_rpc.py::test_multi_client_connect[tensorpipe] [03:56:38] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:38] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [03:56:38] /root/jenkins/workspace/dgl_PR-4499/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 [ 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g0] Sleep 1 seconds to test client re-connect. [03:56:39] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:39] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. [03:56:39] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:37: Failed to connect to receiver[tcp://172.17.0.2:17628]. 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp5-g1] 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] Start server 0 [03:56:40] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:140: Sender with NetType~tensorpipe is created. [03:56:40] /root/jenkins/workspace/dgl_PR-4499/src/rpc/rpc.cc:159: Receiver with NetType~tensorpipe is created. Server is waiting for connections on [172.17.0.2:17628]... [03:56:40] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:17628]. 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g0] PASSED [ 72%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp0-g1] 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g0] 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 [ 34%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp1-g1] 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] [03:56:42] /root/jenkins/workspace/dgl_PR-4499/src/rpc/tensorpipe/tp_communicator.cc:108: TPReceiver starts to wait on [tcp://172.17.0.2:42999]. Client [3638] waits on 172.17.0.2:42999 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 [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g0] 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 [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp2-g1] 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 [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g0] 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 [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp3-g1] 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] Machine (0) group (0) client (0) connect to server successfuly! PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g0] 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] Client[0] in group[0] is exiting... PASSED [ 73%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp4-g1] Server (0) shutdown. Server is exiting... PASSED [ 92%] tests/distributed/test_shared_mem_store.py::test_init SKIPPED (skip ...) [ 94%] tests/distributed/test_shared_mem_store.py::test_compute SKIPPED (sk...) [ 96%] tests/distributed/test_shared_mem_store.py::test_sync_barrier SKIPPED [ 98%] tests/distributed/test_shared_mem_store.py::test_copy_shared_mem SKIPPED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1741 /root/jenkins/workspace/dgl_PR-4499@3/python/dgl/backend/backend.py:1741: DeprecationWarning: invalid escape sequence \P """ python/dgl/backend/pytorch/tensor.py:16 python/dgl/backend/pytorch/tensor.py:16 /root/jenkins/workspace/dgl_PR-4499@3/python/dgl/backend/pytorch/tensor.py:16: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(th.__version__) < LooseVersion("1.9.0"): python/dgl/backend/pytorch/tensor.py:340 python/dgl/backend/pytorch/tensor.py:340 /root/jenkins/workspace/dgl_PR-4499@3/python/dgl/backend/pytorch/tensor.py:340: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(th.__version__) >= LooseVersion("1.10.0"): python/dgl/dataloading/dataloader.py:33 /root/jenkins/workspace/dgl_PR-4499@3/python/dgl/dataloading/dataloader.py:33: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(torch.__version__) python/dgl/_dataloading/pytorch/dataloader.py:24 /root/jenkins/workspace/dgl_PR-4499@3/python/dgl/_dataloading/pytorch/dataloader.py:24: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(th.__version__) python/dgl/_dataloading/pytorch/dataloader.py:25 /root/jenkins/workspace/dgl_PR-4499@3/python/dgl/_dataloading/pytorch/dataloader.py:25: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_16 = PYTORCH_VER >= LooseVersion("1.6.0") python/dgl/_dataloading/pytorch/dataloader.py:26 /root/jenkins/workspace/dgl_PR-4499@3/python/dgl/_dataloading/pytorch/dataloader.py:26: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_17 = PYTORCH_VER >= LooseVersion("1.7.0") python/dgl/heterograph.py:72 /root/jenkins/workspace/dgl_PR-4499@3/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/distributed/test_dist_graph_store.py: 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-4499@3/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/python3.7/site-packages/torch/_tensor.py:575: UserWarning: floor_divide is deprecated, and will be removed in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor'). (Triggered internally at /pytorch/aten/src/ATen/native/BinaryOps.cpp:467.) return torch.floor_divide(self, other) tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[1] tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[2] tests/distributed/test_distributed_sampling.py::test_rpc_get_degree_shuffle[1] tests/distributed/test_distributed_sampling.py::test_rpc_get_degree_shuffle[2] tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[1] tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[2] tests/distributed/test_distributed_sampling.py::test_rpc_in_subgraph /root/jenkins/workspace/dgl_PR-4499@3/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-4499@3/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-4499@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) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html - generated xml file: /root/jenkins/workspace/dgl_PR-4499@3/pytest_distributed.xml - ============================ slowest 100 durations ============================= 75.65s call tests/distributed/test_dist_graph_store.py::test_server_client 59.22s call tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[2] 50.23s call tests/distributed/test_distributed_sampling.py::test_rpc_sampling_shuffle[1] 41.28s call tests/distributed/test_mp_dataloader.py::test_neg_dataloader[4-3] 39.73s call tests/distributed/test_mp_dataloader.py::test_dataloader[edge-4-3] 38.37s call tests/distributed/test_mp_dataloader.py::test_dataloader[node-4-3] 32.97s call tests/distributed/test_mp_dataloader.py::test_dataloader[node-0-3] 30.95s call tests/distributed/test_mp_dataloader.py::test_neg_dataloader[0-3] 29.73s call tests/distributed/test_mp_dataloader.py::test_dataloader[edge-0-3] 21.91s call tests/distributed/test_dist_graph_store.py::test_dist_emb_server_client 15.20s call tests/distributed/test_rpc.py::test_rpc_timeout[socket] 15.09s call tests/distributed/test_rpc.py::test_rpc_timeout[tensorpipe] 15.06s call tests/distributed/test_dist_graph_store.py::test_split[True] 14.48s call tests/distributed/test_new_kvstore.py::test_kv_multi_role 12.46s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-False-4-3] 12.45s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-True-4-3] 12.38s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-False-4-3] 12.31s call tests/distributed/test_new_kvstore.py::test_kv_store 12.28s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-True-4-3] 12.03s call tests/distributed/test_rpc.py::test_multi_client[tensorpipe] 11.46s call tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[2] 10.99s call tests/distributed/test_rpc.py::test_multi_client_connect[socket] 9.75s call tests/distributed/test_distributed_sampling.py::test_rpc_find_edges_shuffle[1] 9.71s call tests/distributed/test_rpc.py::test_multi_client[socket] 8.14s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-True-0-3] 8.12s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-False-False-0-3] 8.03s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-True-0-3] 7.96s call tests/distributed/test_mp_dataloader.py::test_dist_dataloader[1-True-False-0-3] 7.89s call tests/distributed/test_rpc.py::test_rpc[tensorpipe] 7.84s call tests/distributed/test_rpc.py::test_multi_client_connect[tensorpipe] 6.46s call tests/distributed/test_distributed_sampling.py::test_rpc_get_degree_shuffle[2] 6.42s call tests/distributed/test_rpc.py::test_multi_thread_rpc[tensorpipe] 6.38s call tests/distributed/test_rpc.py::test_multi_thread_rpc[socket] 5.47s call tests/distributed/test_dist_graph_store.py::test_standalone 5.46s call tests/distributed/test_dist_graph_store.py::test_standalone_node_emb 5.36s call tests/distributed/test_distributed_sampling.py::test_rpc_in_subgraph 4.62s call tests/distributed/test_dist_graph_store.py::test_split[False] 4.33s call tests/distributed/test_distributed_sampling.py::test_rpc_get_degree_shuffle[1] 3.77s call tests/distributed/test_dist_graph_store.py::test_split_even 0.37s call tests/distributed/test_distributed_sampling.py::test_standalone_etype_sampling 0.37s call tests/distributed/test_partition.py::test_hetero_partition 0.34s call tests/distributed/test_mp_dataloader.py::test_standalone 0.27s call tests/distributed/test_distributed_sampling.py::test_standalone_sampling 0.19s call tests/distributed/test_partition.py::test_partition (56 durations < 0.005s hidden. Use -vv to show these durations.) ============ 49 passed, 6 skipped, 50 warnings in 695.09s (0:11:35) ============ 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 [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g0] ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4499@3 collecting ... 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%]PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-add-shp5-g1] 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%]collected 8 items tests/tools/test_dist_part.py::test_part_pipeline root_dir /tmp/tmpha_kpoj0 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 [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g0] INFO:root:Changing directory to /tmp/tmpha_kpoj0/2parts INFO:root:Previously: /root/jenkins/workspace/dgl_PR-4499@3 INFO:root:Generating partition for node type author INFO:root:Writing to author.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to author.txt INFO:root:Generating partition for node type institution INFO:root:Writing to institution.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to institution.txt INFO:root:Generating partition for node type paper INFO:root:Writing to paper.txt using CSV format with configuration {'delimiter': ','} INFO:root:Done writing to paper.txt INFO:root:Restoring directory to /root/jenkins/workspace/dgl_PR-4499@3 /opt/conda/envs/pytorch-ci/bin/python /root/jenkins/workspace/dgl_PR-4499@3/tools/distgraphlaunch.py --num_proc_per_machine 1 --ip_config /tmp/tmpha_kpoj0/ip_config.txt --master_port 12345 "/opt/conda/envs/pytorch-ci/bin/python /root/jenkins/workspace/dgl_PR-4499@3/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmpha_kpoj0/2parts --input-dir /tmp/tmpha_kpoj0/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmpha_kpoj0/partitioned " (export DGL_IP_CONFIG=/tmp/tmpha_kpoj0/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4499@3/python: RANK=0 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python /root/jenkins/workspace/dgl_PR-4499@3/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmpha_kpoj0/2parts --input-dir /tmp/tmpha_kpoj0/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmpha_kpoj0/partitioned ) (export DGL_IP_CONFIG=/tmp/tmpha_kpoj0/ip_config.txt DGL_NUM_SERVER=1 PYTHONPATH=tools:tests:/root/jenkins/workspace/dgl_PR-4499@3/python: RANK=1 MASTER_ADDR=127.0.0.1 MASTER_PORT=12345; /opt/conda/envs/pytorch-ci/bin/python /root/jenkins/workspace/dgl_PR-4499@3/tools/distpartitioning/data_proc_pipeline.py --world-size 2 --partitions-dir /tmp/tmpha_kpoj0/2parts --input-dir /tmp/tmpha_kpoj0/chunked-data --graph-name mag240m --schema metadata.json --num-parts 2 --output /tmp/tmpha_kpoj0/partitioned ) 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] cleanupu process runs Warning: Permanently added '127.0.0.1' (ECDSA) to the list of known hosts. Warning: Permanently added '127.0.0.2' (ECDSA) to the list of known hosts. PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-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] 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 [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g0] 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 [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g1] DGL backend not selected or invalid. Assuming PyTorch for now. [85d1f9a29334 INFO 2022-09-04 03:56:50,987 PID:3703] Added key: store_based_barrier_key:1 to store for rank: 1 [85d1f9a29334 INFO 2022-09-04 03:56:50,987 PID:3703] Rank 1: Completed store-based barrier for 2 nodes. [85d1f9a29334 INFO 2022-09-04 03:56:50,987 PID:3701] Added key: store_based_barrier_key:1 to store for rank: 0 [85d1f9a29334 INFO 2022-09-04 03:56:50,987 PID:3701] Rank 0: Completed store-based barrier for 2 nodes. [85d1f9a29334 INFO 2022-09-04 03:56:50,987 PID:3701] [Rank: 0] Done with process group initialization... [85d1f9a29334 INFO 2022-09-04 03:56:50,987 PID:3701] [Rank: 0] Starting distributed data processing pipeline... [85d1f9a29334 INFO 2022-09-04 03:56:50,987 PID:3703] [Rank: 1] Done with process group initialization... [85d1f9a29334 INFO 2022-09-04 03:56:50,988 PID:3703] [Rank: 1] Starting distributed data processing pipeline... 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] [85d1f9a29334 INFO 2022-09-04 03:56:51,019 PID:3701] [Rank: 0] Initialized metis partitions and node_types map... [85d1f9a29334 INFO 2022-09-04 03:56:51,019 PID:3701] Loading numpy from /tmp/tmpha_kpoj0/chunked-data/node_data/paper/feat-0.npy [85d1f9a29334 INFO 2022-09-04 03:56:51,021 PID:3703] [Rank: 1] Initialized metis partitions and node_types map... [85d1f9a29334 INFO 2022-09-04 03:56:51,021 PID:3703] Loading numpy from /tmp/tmpha_kpoj0/chunked-data/node_data/paper/feat-1.npy [85d1f9a29334 INFO 2022-09-04 03:56:51,023 PID:3701] Loading numpy from /tmp/tmpha_kpoj0/chunked-data/node_data/paper/label-0.npy [85d1f9a29334 INFO 2022-09-04 03:56:51,024 PID:3701] Loading numpy from /tmp/tmpha_kpoj0/chunked-data/node_data/paper/year-0.npy [85d1f9a29334 INFO 2022-09-04 03:56:51,024 PID:3701] [Rank: 0] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [85d1f9a29334 INFO 2022-09-04 03:56:51,024 PID:3701] [Rank: 0] node feature name: paper/label, feature data shape: torch.Size([300]) [85d1f9a29334 INFO 2022-09-04 03:56:51,024 PID:3701] [Rank: 0] node feature name: paper/year, feature data shape: torch.Size([300]) [85d1f9a29334 INFO 2022-09-04 03:56:51,024 PID:3701] Reading csv files from /tmp/tmpha_kpoj0/chunked-data/edge_index/author:affiliated_with:institution0.txt [85d1f9a29334 INFO 2022-09-04 03:56:51,025 PID:3703] Loading numpy from /tmp/tmpha_kpoj0/chunked-data/node_data/paper/label-1.npy [85d1f9a29334 INFO 2022-09-04 03:56:51,026 PID:3703] Loading numpy from /tmp/tmpha_kpoj0/chunked-data/node_data/paper/year-1.npy [85d1f9a29334 INFO 2022-09-04 03:56:51,026 PID:3703] [Rank: 1] node feature name: paper/feat, feature data shape: torch.Size([300, 3]) [85d1f9a29334 INFO 2022-09-04 03:56:51,026 PID:3703] [Rank: 1] node feature name: paper/label, feature data shape: torch.Size([300]) [85d1f9a29334 INFO 2022-09-04 03:56:51,026 PID:3703] [Rank: 1] node feature name: paper/year, feature data shape: torch.Size([300]) [85d1f9a29334 INFO 2022-09-04 03:56:51,026 PID:3703] Reading csv files from /tmp/tmpha_kpoj0/chunked-data/edge_index/author:affiliated_with:institution1.txt [85d1f9a29334 INFO 2022-09-04 03:56:51,030 PID:3701] Reading csv files from /tmp/tmpha_kpoj0/chunked-data/edge_index/author:writes:paper0.txt [85d1f9a29334 INFO 2022-09-04 03:56:51,035 PID:3701] Reading csv files from /tmp/tmpha_kpoj0/chunked-data/edge_index/paper:cites:paper0.txt [85d1f9a29334 INFO 2022-09-04 03:56:51,037 PID:3703] Reading csv files from /tmp/tmpha_kpoj0/chunked-data/edge_index/author:writes:paper1.txt [85d1f9a29334 INFO 2022-09-04 03:56:51,041 PID:3701] Reading csv files from /tmp/tmpha_kpoj0/chunked-data/edge_index/paper:rev_writes:author0.txt [85d1f9a29334 INFO 2022-09-04 03:56:51,047 PID:3703] Reading csv files from /tmp/tmpha_kpoj0/chunked-data/edge_index/paper:cites:paper1.txt [85d1f9a29334 INFO 2022-09-04 03:56:51,049 PID:3701] [Rank: 0] Done reading edge_file: 4, (2100,) [85d1f9a29334 INFO 2022-09-04 03:56:51,049 PID:3701] [Rank: 0] Done reading dataset deom /tmp/tmpha_kpoj0/chunked-data [85d1f9a29334 INFO 2022-09-04 03:56:51,055 PID:3703] Reading csv files from /tmp/tmpha_kpoj0/chunked-data/edge_index/paper:rev_writes:author1.txt [85d1f9a29334 INFO 2022-09-04 03:56:51,065 PID:3703] [Rank: 1] Done reading edge_file: 4, (2100,) [85d1f9a29334 INFO 2022-09-04 03:56:51,065 PID:3703] [Rank: 1] Done reading dataset deom /tmp/tmpha_kpoj0/chunked-data [85d1f9a29334 INFO 2022-09-04 03:56:51,145 PID:3703] [Rank: 1] Done augmenting edge_data: 6, (2100,) [85d1f9a29334 INFO 2022-09-04 03:56:51,145 PID:3703] [Rank: 1] Done augmenting file input data with auxilary columns [85d1f9a29334 INFO 2022-09-04 03:56:51,146 PID:3703] [Rank: 1] processing node feature: paper/feat [85d1f9a29334 INFO 2022-09-04 03:56:51,145 PID:3701] [Rank: 0] Done augmenting edge_data: 6, (2100,) [85d1f9a29334 INFO 2022-09-04 03:56:51,146 PID:3701] [Rank: 0] Done augmenting file input data with auxilary columns [85d1f9a29334 INFO 2022-09-04 03:56:51,146 PID:3701] [Rank: 0] processing node feature: paper/feat [85d1f9a29334 INFO 2022-09-04 03:56:51,260 PID:3701] [Rank: 0] processing node feature: paper/label [85d1f9a29334 INFO 2022-09-04 03:56:51,261 PID:3703] [Rank: 1] processing node feature: paper/label [85d1f9a29334 INFO 2022-09-04 03:56:51,304 PID:3701] [Rank: 0] processing node feature: paper/year [85d1f9a29334 INFO 2022-09-04 03:56:51,304 PID:3703] [Rank: 1] processing node feature: paper/year [85d1f9a29334 INFO 2022-09-04 03:56:51,396 PID:3703] [Rank: 1] Total time for node feature exchange: 0:00:00.250601 [85d1f9a29334 INFO 2022-09-04 03:56:51,396 PID:3701] [Rank: 0] Total time for node feature exchange: 0:00:00.250546 [85d1f9a29334 INFO 2022-09-04 03:56:51,396 PID:3703] [Rank: 1] Done with node features exchange. [85d1f9a29334 INFO 2022-09-04 03:56:51,396 PID:3701] [Rank: 0] Done with node features exchange. PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-32] [85d1f9a29334 INFO 2022-09-04 03:56:51,562 PID:3703] [Rank: 1] Time to send/rcv edge data: 0:00:00.007483 [85d1f9a29334 INFO 2022-09-04 03:56:51,562 PID:3701] [Rank: 0] Time to send/rcv edge data: 0:00:00.007488 [85d1f9a29334 INFO 2022-09-04 03:56:51,562 PID:3703] [Rank: 1] Done with data shuffling... [85d1f9a29334 INFO 2022-09-04 03:56:51,562 PID:3701] [Rank: 0] Done with data shuffling... [85d1f9a29334 INFO 2022-09-04 03:56:51,562 PID:3703] [Rank: 1] Sorted node_data by node_type [85d1f9a29334 INFO 2022-09-04 03:56:51,562 PID:3701] [Rank: 0] Sorted node_data by node_type [85d1f9a29334 INFO 2022-09-04 03:56:51,562 PID:3701] [Rank: 0] Done assigning global-ids to nodes... [85d1f9a29334 INFO 2022-09-04 03:56:51,562 PID:3703] [Rank: 1] Done assigning global-ids to nodes... [85d1f9a29334 INFO 2022-09-04 03:56:51,563 PID:3703] [Rank: 1] Done assigning global_ids to edges ... [85d1f9a29334 INFO 2022-09-04 03:56:51,563 PID:3701] [Rank: 0] Done assigning global_ids to edges ... [85d1f9a29334 INFO 2022-09-04 03:56:51,615 PID:3703] [Rank: 1] Done resolving orig_node_id for local node_ids... [85d1f9a29334 INFO 2022-09-04 03:56:51,615 PID:3701] [Rank: 0] Done resolving orig_node_id for local node_ids... [85d1f9a29334 INFO 2022-09-04 03:56:51,722 PID:3703] [Rank: 1] Time to create dgl objects: 0:00:00.106642 [85d1f9a29334 INFO 2022-09-04 03:56:51,722 PID:3703] [Rank: 1] Total execution time of the program: 0:00:00.734487 Setting the default backend to "pytorch". You can change it in the ~/.dgl/config.json file or export the DGLBACKEND environment variable. Valid options are: pytorch, mxnet, tensorflow (all lowercase) [Rank: 1 ] Reading file: /tmp/tmpha_kpoj0/2parts/author.txt [Rank: 1 ] Reading file: /tmp/tmpha_kpoj0/2parts/institution.txt [Rank: 1 ] Reading file: /tmp/tmpha_kpoj0/2parts/paper.txt There are 2076 edges in partition 1 [85d1f9a29334 INFO 2022-09-04 03:56:51,722 PID:3703] [Rank: 1] Done with Distributed data processing pipeline processing. [85d1f9a29334 INFO 2022-09-04 03:56:51,723 PID:3701] [Rank: 0] Time to create dgl objects: 0:00:00.107182 [85d1f9a29334 INFO 2022-09-04 03:56:51,723 PID:3701] [Rank: 0] Total execution time of the program: 0:00:00.735249 [85d1f9a29334 INFO 2022-09-04 03:56:51,723 PID:3701] [Rank: 0] Done with Distributed data processing pipeline processing. [Rank: 0 ] Reading file: /tmp/tmpha_kpoj0/2parts/author.txt [Rank: 0 ] Reading file: /tmp/tmpha_kpoj0/2parts/institution.txt [Rank: 0 ] Reading file: /tmp/tmpha_kpoj0/2parts/paper.txt There are 2124 edges in partition 0 PASSED [ 12%] tests/tools/test_launch.py::TestWrapUdfInTorchDistLauncher::test_chained_udf PASSED [ 25%] tests/tools/test_launch.py::TestWrapUdfInTorchDistLauncher::test_py_versions PASSED [ 37%] tests/tools/test_launch.py::TestWrapUdfInTorchDistLauncher::test_simple PASSED [ 50%] tests/tools/test_launch.py::TestWrapCmdWithLocalEnvvars::test_simple PASSED [ 62%] tests/tools/test_launch.py::TestConstructDglServerEnvVars::test_simple PASSED [ 75%] tests/tools/test_launch.py::TestConstructDglClientEnvVars::test_simple PASSED [ 87%] tests/tools/test_launch.py::test_submit_jobs Currently it's in dry run mode which means no jobs will be launched. PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/pytorch/tensor.py:16 python/dgl/backend/pytorch/tensor.py:16 /root/jenkins/workspace/dgl_PR-4499@3/python/dgl/backend/pytorch/tensor.py:16: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(th.__version__) < LooseVersion("1.9.0"): python/dgl/backend/pytorch/tensor.py:340 python/dgl/backend/pytorch/tensor.py:340 /root/jenkins/workspace/dgl_PR-4499@3/python/dgl/backend/pytorch/tensor.py:340: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(th.__version__) >= LooseVersion("1.10.0"): python/dgl/dataloading/dataloader.py:33 /root/jenkins/workspace/dgl_PR-4499@3/python/dgl/dataloading/dataloader.py:33: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(torch.__version__) python/dgl/_dataloading/pytorch/dataloader.py:24 /root/jenkins/workspace/dgl_PR-4499@3/python/dgl/_dataloading/pytorch/dataloader.py:24: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(th.__version__) python/dgl/_dataloading/pytorch/dataloader.py:25 /root/jenkins/workspace/dgl_PR-4499@3/python/dgl/_dataloading/pytorch/dataloader.py:25: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_16 = PYTORCH_VER >= LooseVersion("1.6.0") python/dgl/_dataloading/pytorch/dataloader.py:26 /root/jenkins/workspace/dgl_PR-4499@3/python/dgl/_dataloading/pytorch/dataloader.py:26: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_17 = PYTORCH_VER >= LooseVersion("1.7.0") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _nlv = LooseVersion(_np_version) ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p16 = _nlv < LooseVersion("1.16") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p17 = _nlv < LooseVersion("1.17") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p18 = _nlv < LooseVersion("1.18") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p19 = _nlv < LooseVersion("1.19") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p20 = _nlv < LooseVersion("1.20") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(_np_version) >= LooseVersion("1.17.0"): -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html -- generated xml file: /root/jenkins/workspace/dgl_PR-4499@3/pytest_tools.xml -- ============================ slowest 100 durations ============================= 3.75s call tests/tools/test_dist_part.py::test_part_pipeline (23 durations < 0.005s hidden. Use -vv to show these durations.) ======================== 8 passed, 17 warnings in 4.93s ======================== PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g0] PASSED [ 74%] tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-16] [Pipeline] } [Pipeline] // timeout [Pipeline] } PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp2-g1] [Pipeline] // stage 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] Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... 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] [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 85d1f9a2933408938d3f7779c0896c36d6b0ea3e519d41d06cda212a842f3caa 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 [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-g0] 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 [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp3-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%]PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g0] 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] $ docker rm -f 85d1f9a2933408938d3f7779c0896c36d6b0ea3e519d41d06cda212a842f3caa 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] [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } Running on dgl-manual-large-cpu in /root/jenkins/workspace/dgl_PR-4499@3 [Pipeline] // node [Pipeline] { 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] [Pipeline] } PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp4-g1] [Pipeline] // stage [Pipeline] } [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa Cloning the remote Git repository Cloning with configured refspecs honoured and without tags 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 [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g0] 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] Cloning repository https://github.com/dmlc/dgl.git > git init /root/jenkins/workspace/dgl_PR-4499@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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp5-g1] 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] Cleaning workspace Fetching without tags 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] Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba 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 [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g0] > git config remote.origin.url https://github.com/dmlc/dgl.git # timeout=10 > git config --add remote.origin.fetch +refs/pull/4499/head:refs/remotes/origin/PR-4499 # 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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) 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] Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace 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 [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp0-g1] 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] [Pipeline] withEnv [Pipeline] { [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh PASSED [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g0] using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 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] + docker pull dgllib/dgl-ci-cpu:v220816 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 [ 35%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp1-g1] 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g0] v220816: Pulling from dgllib/dgl-ci-cpu Digest: sha256:64b385c33b44dc57cb96ff264a84d8dfb8ced0caa9b30fbc4cec6d5ee511b099 Status: Image is up to date for dgllib/dgl-ci-cpu:v220816 docker.io/dgllib/dgl-ci-cpu:v220816 [Pipeline] } [Pipeline] // withEnv [Pipeline] isUnix [Pipeline] withEnv [Pipeline] { [Pipeline] sh 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] + docker inspect -f . dgllib/dgl-ci-cpu:v220816 . [Pipeline] } [Pipeline] // withEnv 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] [Pipeline] withDockerContainer dgl-manual-large-cpu does not seem to be running inside a container PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp2-g1] $ docker run -t -d -u 0:0 -w /root/jenkins/workspace/dgl_PR-4499@3 -v /root/jenkins/workspace/dgl_PR-4499@3:/root/jenkins/workspace/dgl_PR-4499@3:rw,z -v /root/jenkins/workspace/dgl_PR-4499@3@tmp:/root/jenkins/workspace/dgl_PR-4499@3@tmp:rw,z -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** -e ******** dgllib/dgl-ci-cpu:v220816 cat 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] $ docker top d3a5ee4459a5c78df5a47f1029b9b08d30e2f84f833bfb0ffc805127774d7ee0 -eo pid,comm [Pipeline] { 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] [Pipeline] stage [Pipeline] { (DGL-Go CPU test) [Pipeline] sh PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g0] 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] + 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 786e4b1b-86b9-4b2a-8500-f731d83996aa Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@2e8188c2; decorates RemoteLauncher[hudson.remoting.Channel@2d9d6160: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 [ 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] Fetching without tags 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp3-g1] Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba 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] Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) 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] Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4499@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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4499 # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g0] 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] [Pipeline] sh PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp4-g1] 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] + git submodule update --recursive --init Submodule 'third_party/METIS' (https://github.com/KarypisLab/METIS.git) registered for path 'third_party/METIS' Submodule 'third_party/dlpack' (https://github.com/dmlc/dlpack.git) registered for path 'third_party/dlpack' Submodule 'third_party/dmlc-core' (https://github.com/dmlc/dmlc-core.git) registered for path 'third_party/dmlc-core' Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' Submodule 'third_party/libxsmm' (https://github.com/hfp/libxsmm.git) registered for path 'third_party/libxsmm' Submodule 'third_party/nanoflann' (https://github.com/jlblancoc/nanoflann) registered for path 'third_party/nanoflann' Submodule 'third_party/nccl' (https://github.com/nvidia/nccl) registered for path 'third_party/nccl' Submodule 'third_party/phmap' (https://github.com/greg7mdp/parallel-hashmap.git) registered for path 'third_party/phmap' Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe) registered for path 'third_party/tensorpipe' Submodule 'third_party/thrust' (https://github.com/NVIDIA/thrust.git) registered for path 'third_party/thrust' Submodule 'third_party/tvm' (https://github.com/apache/incubator-tvm) registered for path 'third_party/tvm' Submodule 'third_party/xbyak' (https://github.com/herumi/xbyak) registered for path 'third_party/xbyak' Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/METIS'... 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g0] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators0-32-32] Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/dlpack'... PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-16-16] Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/dmlc-core'... PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-mul-shp5-g1] 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/googletest'... PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp0-g1] 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/libxsmm'... PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp1-g1] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g0] 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g1] 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g0] 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp3-g1] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g0] 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp4-g1] 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g0] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators1-32-16] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp5-g1] 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g0] PASSED [ 80%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp0-g1] 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g0] 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 [ 36%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp1-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g0] 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 [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp2-g1] 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 [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g0] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp3-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-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 [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp4-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators0-16-32] Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/nanoflann'... 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 [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/nccl'... 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 [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_lhs-shp5-g1] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators1-32-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g0] Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/phmap'... 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 [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp0-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe'... PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g0] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-16] Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/thrust'... PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp1-g1] 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 [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g0] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators0-32-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp2-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/tvm'... 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 [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g0] PASSED [ 81%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers1-aggregators1-32-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp3-g1] 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 [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g0] 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 [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp4-g1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g0] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g1] 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 [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g0] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-32] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp0-g1] 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 [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g0] 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 [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp1-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/xbyak'... PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 37%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp2-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-4499@3/third_party/METIS/GKlib'... PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators0-32-32] Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators1-16-16] 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[idtype1-max-add-shp2-g1] 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] 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[idtype1-max-add-shp3-g0] 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-4499@3/third_party/tensorpipe/third_party/googletest'... 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 [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp3-g1] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g0] PASSED [ 82%] tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp4-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/third_party/libnop'... Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/third_party/libuv'... 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 [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g0] 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 [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-add-shp5-g1] 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 [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g0] 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 [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp0-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/tensorpipe/third_party/pybind11'... 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 [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g0] 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 [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp1-g1] 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] Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' 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] 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-4499@3/third_party/tensorpipe/third_party/pybind11/tools/clang'... PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g0] 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] 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-4499@3/third_party/thrust/dependencies/cub'... PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp2-g1] 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 [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g0] 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 [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp3-g1] 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] Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' 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 [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g0] PASSED [ 84%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-1-0.1-2.5-scalers1-aggregators1-16-32] Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule 'dlpack' (https://github.com/dmlc/dlpack) registered for path 'third_party/tvm/3rdparty/dlpack' Submodule 'dmlc-core' (https://github.com/dmlc/dmlc-core) registered for path 'third_party/tvm/3rdparty/dmlc-core' Submodule '3rdparty/rang' (https://github.com/agauniyal/rang) registered for path 'third_party/tvm/3rdparty/rang' Submodule '3rdparty/vta-hw' (https://github.com/apache/incubator-tvm-vta) registered for path 'third_party/tvm/3rdparty/vta-hw' Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/tvm/3rdparty/dlpack'... 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 [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp4-g1] 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 [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g0] 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 [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-sub-shp5-g1] Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/tvm/3rdparty/dmlc-core'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/tvm/3rdparty/rang'... 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] Cloning into '/root/jenkins/workspace/dgl_PR-4499@3/third_party/tvm/3rdparty/vta-hw'... PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g0] 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] Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp0-g1] Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' 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] [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] { PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-g0] [Pipeline] sh PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators0-32-32] + bash tests/scripts/task_go_test.sh ~/jenkins/workspace/dgl_PR-4499@3/dglgo ~/jenkins/workspace/dgl_PR-4499@3 PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp1-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 PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-16] PASSED [ 38%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g0] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp2-g1] running install PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-32] 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 PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g0] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-16] writing requirements to dglgo.egg-info/requires.txt writing top-level names to dglgo.egg-info/top_level.txt writing manifest file 'dglgo.egg-info/SOURCES.txt' reading manifest file 'dglgo.egg-info/SOURCES.txt' writing manifest file 'dglgo.egg-info/SOURCES.txt' installing library code to build/bdist.linux-x86_64/egg running install_lib running build_py creating build creating build/lib creating build/lib/recipes copying recipes/__init__.py -> build/lib/recipes creating build/lib/dglgo copying dglgo/__init__.py -> build/lib/dglgo creating build/lib/dglgo/pipeline copying dglgo/pipeline/__init__.py -> build/lib/dglgo/pipeline creating build/lib/dglgo/utils copying dglgo/utils/early_stop.py -> build/lib/dglgo/utils copying dglgo/utils/optimizer_config.py -> build/lib/dglgo/utils copying dglgo/utils/enter_config.py -> build/lib/dglgo/utils copying dglgo/utils/yaml_dump.py -> build/lib/dglgo/utils copying dglgo/utils/__init__.py -> build/lib/dglgo/utils copying dglgo/utils/factory.py -> build/lib/dglgo/utils copying dglgo/utils/base_model.py -> build/lib/dglgo/utils creating build/lib/dglgo/apply_pipeline copying dglgo/apply_pipeline/__init__.py -> build/lib/dglgo/apply_pipeline creating build/lib/dglgo/model copying dglgo/model/__init__.py -> build/lib/dglgo/model creating build/lib/dglgo/cli copying dglgo/cli/config_apply_cli.py -> build/lib/dglgo/cli copying dglgo/cli/config_cli.py -> build/lib/dglgo/cli copying dglgo/cli/train_cli.py -> build/lib/dglgo/cli copying dglgo/cli/cli.py -> build/lib/dglgo/cli copying dglgo/cli/export_cli.py -> build/lib/dglgo/cli copying dglgo/cli/recipe_cli.py -> build/lib/dglgo/cli copying dglgo/cli/__init__.py -> build/lib/dglgo/cli copying dglgo/cli/apply_cli.py -> build/lib/dglgo/cli creating build/lib/dglgo/pipeline/nodepred_sample copying dglgo/pipeline/nodepred_sample/__init__.py -> build/lib/dglgo/pipeline/nodepred_sample copying dglgo/pipeline/nodepred_sample/gen.py -> build/lib/dglgo/pipeline/nodepred_sample creating build/lib/dglgo/pipeline/graphpred copying dglgo/pipeline/graphpred/__init__.py -> build/lib/dglgo/pipeline/graphpred copying dglgo/pipeline/graphpred/gen.py -> build/lib/dglgo/pipeline/graphpred creating build/lib/dglgo/pipeline/linkpred copying dglgo/pipeline/linkpred/__init__.py -> build/lib/dglgo/pipeline/linkpred copying dglgo/pipeline/linkpred/gen.py -> build/lib/dglgo/pipeline/linkpred creating build/lib/dglgo/pipeline/nodepred copying dglgo/pipeline/nodepred/__init__.py -> build/lib/dglgo/pipeline/nodepred copying dglgo/pipeline/nodepred/gen.py -> build/lib/dglgo/pipeline/nodepred creating build/lib/dglgo/apply_pipeline/nodepred_sample copying dglgo/apply_pipeline/nodepred_sample/__init__.py -> build/lib/dglgo/apply_pipeline/nodepred_sample copying dglgo/apply_pipeline/nodepred_sample/gen.py -> build/lib/dglgo/apply_pipeline/nodepred_sample creating build/lib/dglgo/apply_pipeline/graphpred copying dglgo/apply_pipeline/graphpred/__init__.py -> build/lib/dglgo/apply_pipeline/graphpred copying dglgo/apply_pipeline/graphpred/gen.py -> build/lib/dglgo/apply_pipeline/graphpred creating build/lib/dglgo/apply_pipeline/nodepred copying dglgo/apply_pipeline/nodepred/__init__.py -> build/lib/dglgo/apply_pipeline/nodepred copying dglgo/apply_pipeline/nodepred/gen.py -> build/lib/dglgo/apply_pipeline/nodepred creating build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/sage.py -> build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/sgc.py -> build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/gcn.py -> build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/gin.py -> build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/__init__.py -> build/lib/dglgo/model/node_encoder copying dglgo/model/node_encoder/gat.py -> build/lib/dglgo/model/node_encoder creating build/lib/dglgo/model/graph_encoder copying dglgo/model/graph_encoder/gin_ogbg.py -> build/lib/dglgo/model/graph_encoder copying dglgo/model/graph_encoder/__init__.py -> build/lib/dglgo/model/graph_encoder copying dglgo/model/graph_encoder/pna.py -> build/lib/dglgo/model/graph_encoder creating build/lib/dglgo/model/edge_encoder copying dglgo/model/edge_encoder/bilinear.py -> build/lib/dglgo/model/edge_encoder copying dglgo/model/edge_encoder/dot.py -> build/lib/dglgo/model/edge_encoder copying dglgo/model/edge_encoder/ele.py -> build/lib/dglgo/model/edge_encoder copying dglgo/model/edge_encoder/__init__.py -> build/lib/dglgo/model/edge_encoder copying recipes/graphpred_hiv_gin.yaml -> build/lib/recipes copying recipes/graphpred_hiv_pna.yaml -> build/lib/recipes copying recipes/graphpred_pcba_gin.yaml -> build/lib/recipes copying recipes/linkpred_citation2_sage.yaml -> build/lib/recipes copying recipes/linkpred_collab_sage.yaml -> build/lib/recipes copying recipes/linkpred_cora_sage.yaml -> build/lib/recipes copying recipes/nodepred-ns_arxiv_gcn.yaml -> build/lib/recipes copying recipes/nodepred-ns_product_sage.yaml -> build/lib/recipes copying recipes/nodepred_citeseer_gat.yaml -> build/lib/recipes copying recipes/nodepred_citeseer_gcn.yaml -> build/lib/recipes copying recipes/nodepred_citeseer_sage.yaml -> build/lib/recipes copying recipes/nodepred_cora_gat.yaml -> build/lib/recipes copying recipes/nodepred_cora_gcn.yaml -> build/lib/recipes copying recipes/nodepred_cora_sage.yaml -> build/lib/recipes copying recipes/nodepred_pubmed_gat.yaml -> build/lib/recipes copying recipes/nodepred_pubmed_gcn.yaml -> build/lib/recipes copying recipes/nodepred_pubmed_sage.yaml -> build/lib/recipes copying dglgo/pipeline/nodepred_sample/nodepred-ns.jinja-py -> build/lib/dglgo/pipeline/nodepred_sample copying dglgo/pipeline/graphpred/graphpred.jinja-py -> build/lib/dglgo/pipeline/graphpred copying dglgo/pipeline/linkpred/linkpred.jinja-py -> build/lib/dglgo/pipeline/linkpred copying dglgo/pipeline/nodepred/nodepred.jinja-py -> build/lib/dglgo/pipeline/nodepred copying dglgo/apply_pipeline/nodepred_sample/nodepred-ns.jinja-py -> build/lib/dglgo/apply_pipeline/nodepred_sample copying dglgo/apply_pipeline/graphpred/graphpred.jinja-py -> build/lib/dglgo/apply_pipeline/graphpred copying dglgo/apply_pipeline/nodepred/nodepred.jinja-py -> build/lib/dglgo/apply_pipeline/nodepred creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/egg creating build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/graphpred_hiv_pna.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_cora_gat.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_cora_gcn.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_citeseer_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_pubmed_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_pubmed_gcn.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/linkpred_citation2_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/linkpred_cora_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred-ns_product_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_pubmed_gat.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/graphpred_pcba_gin.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/graphpred_hiv_gin.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_citeseer_gcn.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_cora_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred-ns_arxiv_gcn.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/__init__.py -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/linkpred_collab_sage.yaml -> build/bdist.linux-x86_64/egg/recipes copying build/lib/recipes/nodepred_citeseer_gat.yaml -> build/bdist.linux-x86_64/egg/recipes creating build/bdist.linux-x86_64/egg/dglgo creating build/bdist.linux-x86_64/egg/dglgo/pipeline creating build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred_sample copying build/lib/dglgo/pipeline/nodepred_sample/nodepred-ns.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred_sample copying build/lib/dglgo/pipeline/nodepred_sample/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred_sample copying build/lib/dglgo/pipeline/nodepred_sample/gen.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred_sample creating build/bdist.linux-x86_64/egg/dglgo/pipeline/graphpred copying build/lib/dglgo/pipeline/graphpred/graphpred.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/graphpred copying build/lib/dglgo/pipeline/graphpred/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/graphpred copying build/lib/dglgo/pipeline/graphpred/gen.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/graphpred creating build/bdist.linux-x86_64/egg/dglgo/pipeline/linkpred copying build/lib/dglgo/pipeline/linkpred/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/linkpred copying build/lib/dglgo/pipeline/linkpred/linkpred.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/linkpred copying build/lib/dglgo/pipeline/linkpred/gen.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/linkpred creating build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred copying build/lib/dglgo/pipeline/nodepred/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred copying build/lib/dglgo/pipeline/nodepred/nodepred.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred copying build/lib/dglgo/pipeline/nodepred/gen.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred copying build/lib/dglgo/pipeline/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/pipeline creating build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/early_stop.py -> build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/optimizer_config.py -> build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/enter_config.py -> build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/yaml_dump.py -> build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/factory.py -> build/bdist.linux-x86_64/egg/dglgo/utils copying build/lib/dglgo/utils/base_model.py -> build/bdist.linux-x86_64/egg/dglgo/utils creating build/bdist.linux-x86_64/egg/dglgo/apply_pipeline creating build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred_sample copying build/lib/dglgo/apply_pipeline/nodepred_sample/nodepred-ns.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred_sample copying build/lib/dglgo/apply_pipeline/nodepred_sample/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred_sample copying build/lib/dglgo/apply_pipeline/nodepred_sample/gen.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred_sample creating build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/graphpred copying build/lib/dglgo/apply_pipeline/graphpred/graphpred.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/graphpred copying build/lib/dglgo/apply_pipeline/graphpred/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/graphpred copying build/lib/dglgo/apply_pipeline/graphpred/gen.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/graphpred creating build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred copying build/lib/dglgo/apply_pipeline/nodepred/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred copying build/lib/dglgo/apply_pipeline/nodepred/nodepred.jinja-py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred copying build/lib/dglgo/apply_pipeline/nodepred/gen.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred copying build/lib/dglgo/apply_pipeline/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/apply_pipeline creating build/bdist.linux-x86_64/egg/dglgo/model creating build/bdist.linux-x86_64/egg/dglgo/model/node_encoder copying build/lib/dglgo/model/node_encoder/sage.py -> build/bdist.linux-x86_64/egg/dglgo/model/node_encoder copying build/lib/dglgo/model/node_encoder/sgc.py -> build/bdist.linux-x86_64/egg/dglgo/model/node_encoder copying build/lib/dglgo/model/node_encoder/gcn.py -> build/bdist.linux-x86_64/egg/dglgo/model/node_encoder copying build/lib/dglgo/model/node_encoder/gin.py -> build/bdist.linux-x86_64/egg/dglgo/model/node_encoder copying build/lib/dglgo/model/node_encoder/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/model/node_encoder copying build/lib/dglgo/model/node_encoder/gat.py -> build/bdist.linux-x86_64/egg/dglgo/model/node_encoder creating build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder copying build/lib/dglgo/model/graph_encoder/gin_ogbg.py -> build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder copying build/lib/dglgo/model/graph_encoder/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder copying build/lib/dglgo/model/graph_encoder/pna.py -> build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder creating build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder copying build/lib/dglgo/model/edge_encoder/bilinear.py -> build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder copying build/lib/dglgo/model/edge_encoder/dot.py -> build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder copying build/lib/dglgo/model/edge_encoder/ele.py -> build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder copying build/lib/dglgo/model/edge_encoder/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder copying build/lib/dglgo/model/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/model creating build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/config_apply_cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/config_cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/train_cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/export_cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/recipe_cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/__init__.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/cli/apply_cli.py -> build/bdist.linux-x86_64/egg/dglgo/cli copying build/lib/dglgo/__init__.py -> build/bdist.linux-x86_64/egg/dglgo byte-compiling build/bdist.linux-x86_64/egg/recipes/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred_sample/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred_sample/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/graphpred/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/graphpred/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/linkpred/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/linkpred/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/nodepred/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/pipeline/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/early_stop.py to early_stop.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/optimizer_config.py to optimizer_config.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/enter_config.py to enter_config.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/yaml_dump.py to yaml_dump.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/factory.py to factory.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/utils/base_model.py to base_model.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred_sample/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred_sample/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/graphpred/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/graphpred/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/nodepred/gen.py to gen.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/apply_pipeline/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/sage.py to sage.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/sgc.py to sgc.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/gcn.py to gcn.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/gin.py to gin.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/node_encoder/gat.py to gat.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder/gin_ogbg.py to gin_ogbg.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/graph_encoder/pna.py to pna.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder/bilinear.py to bilinear.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder/dot.py to dot.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder/ele.py to ele.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/edge_encoder/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/model/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/config_apply_cli.py to config_apply_cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/config_cli.py to config_cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/train_cli.py to train_cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/cli.py to cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/export_cli.py to export_cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/recipe_cli.py to recipe_cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/__init__.py to __init__.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/cli/apply_cli.py to apply_cli.cpython-37.pyc byte-compiling build/bdist.linux-x86_64/egg/dglgo/__init__.py to __init__.cpython-37.pyc creating build/bdist.linux-x86_64/egg/EGG-INFO copying dglgo.egg-info/PKG-INFO -> build/bdist.linux-x86_64/egg/EGG-INFO copying dglgo.egg-info/SOURCES.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dglgo.egg-info/dependency_links.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dglgo.egg-info/entry_points.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dglgo.egg-info/requires.txt -> build/bdist.linux-x86_64/egg/EGG-INFO copying dglgo.egg-info/top_level.txt -> build/bdist.linux-x86_64/egg/EGG-INFO /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/command/install.py:37: SetuptoolsDeprecationWarning: setup.py install is deprecated. Use build and pip and other standards-based tools. setuptools.SetuptoolsDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/command/easy_install.py:147: EasyInstallDeprecationWarning: easy_install command is deprecated. Use build and pip and other standards-based tools. EasyInstallDeprecationWarning, zip_safe flag not set; analyzing archive contents... dglgo.apply_pipeline.graphpred.__pycache__.gen.cpython-37: module references __file__ dglgo.apply_pipeline.nodepred.__pycache__.gen.cpython-37: module references __file__ dglgo.apply_pipeline.nodepred_sample.__pycache__.gen.cpython-37: module references __file__ dglgo.cli.__pycache__.recipe_cli.cpython-37: module references __file__ dglgo.pipeline.graphpred.__pycache__.gen.cpython-37: module references __file__ dglgo.pipeline.linkpred.__pycache__.gen.cpython-37: module references __file__ dglgo.pipeline.nodepred.__pycache__.gen.cpython-37: module references __file__ dglgo.pipeline.nodepred_sample.__pycache__.gen.cpython-37: module references __file__ dglgo.utils.__pycache__.factory.cpython-37: module references __file__ creating dist creating 'dist/dglgo-0.0.2-py3.7.egg' and adding 'build/bdist.linux-x86_64/egg' to it removing 'build/bdist.linux-x86_64/egg' (and everything under it) Processing dglgo-0.0.2-py3.7.egg creating /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dglgo-0.0.2-py3.7.egg Extracting dglgo-0.0.2-py3.7.egg to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding dglgo 0.0.2 to easy-install.pth file Installing dgl script to /opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dglgo-0.0.2-py3.7.egg Processing dependencies for dglgo==0.0.2 Searching for rdkit-pypi Reading https://pypi.org/simple/rdkit-pypi/ PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp3-g1] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g0] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-mul-shp4-g1] PASSED [ 85%] 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Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/rdkit_pypi-2022.3.5-py3.7-linux-x86_64.egg Searching for PyYAML>=5.1 Reading https://pypi.org/simple/PyYAML/ PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp1-g1] PASSED [ 85%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers1-aggregators1-32-32] PASSED [ 39%] tests/compute/test_sparse.py::test_spmm[idtype1-max-div-shp2-g0] PASSED [ 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 [ 39%] 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tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g0] 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 [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp0-g1] 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 [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-g0] 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 [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp1-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] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g0] 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 [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_topk_outedge PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-16] Downloading https://files.pythonhosted.org/packages/9e/cb/938214ac358fbef7058343b3765c79a1b7ed0c366f7f992ce7ff38335652/ruamel.yaml-0.17.21-py3-none-any.whl#sha256=742b35d3d665023981bd6d16b3d24248ce5df75fdb4e2924e93a05c1f8b61ca7 Best match: ruamel.yaml 0.17.21 Processing ruamel.yaml-0.17.21-py3-none-any.whl Installing ruamel.yaml-0.17.21-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_with_0deg PASSED [ 20%] tests/compute/test_sampling.py::test_sample_neighbors_biased_homogeneous PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp2-g1] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_biased_bipartite 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 [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-coo] Adding ruamel.yaml 0.17.21 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/ruamel.yaml-0.17.21-py3.7.egg Searching for pydantic>=1.9.0 Reading https://pypi.org/simple/pydantic/ PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g0] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-16] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-in-csr] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-16-32] 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 [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp3-g1] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csr] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators1-32-32] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[False-out-csc] PASSED [ 87%] tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.1-7.4-scalers1-aggregators2-16-16] PASSED [ 40%] tests/compute/test_sparse.py::test_spmm[idtype1-max-copy_rhs-shp4-g0] PASSED [ 21%] tests/compute/test_sampling.py::test_sample_neighbors_etype_homogeneous[True-in-coo] PASSED [ 21%] 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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 [ 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 [ 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 [ 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] 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tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp1-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp1-g1] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp2-g0] PASSED [ 40%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp2-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp3-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp3-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp4-g0] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-u-shp4-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp0-g0] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[True] 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 [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp0-g1] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_without_feature[False] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[True] PASSED [ 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 [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp1-g0] PASSED [ 22%] tests/compute/test_serialize.py::test_graph_serialize_with_labels[False] 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 [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp1-g1] PASSED [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp2-g0] PASSED [ 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 [ 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 [ 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tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-v-shp4-g0] PASSED [ 22%] tests/compute/test_shared_mem.py::test_copy_from_gpu SKIPPED (Need g...) [ 22%] tests/compute/test_sort.py::test_sort_with_tag[int32] 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 [ 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 [ 22%] tests/compute/test_sort.py::test_sort_with_tag[int64] 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 [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp0-g1] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[int32] 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 [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp1-g0] PASSED [ 22%] tests/compute/test_sort.py::test_sort_with_tag_bipartite[int64] 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 [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp1-g1] PASSED [ 22%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp0-g0] Downloading https://files.pythonhosted.org/packages/30/16/bb5e8014f17c3480f3f6a0f66e331400020389cd5bea5b86be8b45dc66ce/pydantic-1.10.1-py3-none-any.whl#sha256=f8b10e59c035ff3dcc9791619d6e6c5141e0fa5cbe264e19e267b8d523b210bf Best match: pydantic 1.10.1 Processing pydantic-1.10.1-py3-none-any.whl Installing pydantic-1.10.1-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Adding pydantic 1.10.1 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pydantic-1.10.1-py3.7.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 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 [ 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 [ 22%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp0-g1] 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/python3.7/site-packages 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 [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp3-g0] Adding numpydoc 1.4.0 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/numpydoc-1.4.0-py3.7.egg Searching for autopep8>=1.6.0 Reading https://pypi.org/simple/autopep8/ 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 [ 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 [ 22%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp1-g0] Downloading https://files.pythonhosted.org/packages/5d/9b/1ed75f8c9086fafe0e9bbb379a70c43b1aa9dff6154ddcfb818f78cb0736/autopep8-1.7.0-py2.py3-none-any.whl#sha256=6f09e90a2be784317e84dc1add17ebfc7abe3924239957a37e5040e27d812087 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/python3.7/site-packages 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 [ 41%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-u-e-shp4-g1] 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 [ 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 [ 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 [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp1-g1] 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/python3.7/site-packages/autopep8-1.7.0-py3.7.egg Searching for isort>=5.10.1 Reading https://pypi.org/simple/isort/ PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp1-g0] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp1-g1] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-g0] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g0] PASSED [ 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 [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp3-g1] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp4-g0] Downloading https://files.pythonhosted.org/packages/b8/5b/f18e227df38b94b4ee30d2502fd531bebac23946a2497e5595067a561274/isort-5.10.1-py3-none-any.whl#sha256=6f62d78e2f89b4500b080fe3a81690850cd254227f27f75c3a0c491a1f351ba7 Best match: isort 5.10.1 Processing isort-5.10.1-py3-none-any.whl Installing isort-5.10.1-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 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 [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-u-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp0-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp0-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp1-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp2-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp2-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp3-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp3-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp4-g0] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-v-shp4-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp0-g0] Adding isort 5.10.1 to easy-install.pth file Installing isort script to /opt/conda/envs/pytorch-ci/bin Installing isort-identify-imports script to /opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/isort-5.10.1-py3.7.egg Searching for typer>=0.4.0 Reading https://pypi.org/simple/typer/ PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp3-g0] 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 [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp0-g1] 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/python3.7/site-packages PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp3-g1] PASSED [ 90%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp1-g0] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-2.5-scalers1-aggregators1-32-16] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp1-g1] PASSED [ 42%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp2-g0] Adding typer 0.6.1 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/typer-0.6.1-py3.7.egg Searching for ruamel.yaml.clib>=0.2.6 Reading https://pypi.org/simple/ruamel.yaml.clib/ 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 [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp4-g0] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp2-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 [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp4-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp3-g0] 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 [ 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 [ 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 [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-v-e-shp4-g1] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators0-32-32] 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 [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp5-g0] 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] Downloading https://files.pythonhosted.org/packages/98/8a/ba37489b423916162b086b01c7c18001cf297350694180468e1698085c58/ruamel.yaml.clib-0.2.6-cp37-cp37m-manylinux1_x86_64.whl#sha256=78988ed190206672da0f5d50c61afef8f67daa718d614377dcd5e3ed85ab4a99 Best match: ruamel.yaml.clib 0.2.6 Processing ruamel.yaml.clib-0.2.6-cp37-cp37m-manylinux1_x86_64.whl Installing ruamel.yaml.clib-0.2.6-cp37-cp37m-manylinux1_x86_64.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-add-shp5-g1] 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] Adding ruamel.yaml.clib 0.2.6 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/ruamel.yaml.clib-0.2.6-py3.7-linux-x86_64.egg Searching for Jinja2>=2.10 Reading https://pypi.org/simple/Jinja2/ PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp1-g1] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-16] Downloading https://files.pythonhosted.org/packages/bc/c3/f068337a370801f372f2f8f6bad74a5c140f6fda3d9de154052708dd3c65/Jinja2-3.1.2-py3-none-any.whl#sha256=6088930bfe239f0e6710546ab9c19c9ef35e29792895fed6e6e31a023a182a61 PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp0-g0] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers0-aggregators2-16-32] Best match: Jinja2 3.1.2 Processing Jinja2-3.1.2-py3-none-any.whl Installing Jinja2-3.1.2-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 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 [ 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] Adding Jinja2 3.1.2 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/Jinja2-3.1.2-py3.7.egg Searching for sphinx>=3.0 Reading https://pypi.org/simple/sphinx/ PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-u-shp3-g1] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp0-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 [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-16-32] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp0-g0] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp1-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 [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp1-g1] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp1-g1] 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] Downloading https://files.pythonhosted.org/packages/83/74/318d8cd70cbde2164e3035f9e9ba0807e2de7d384e03784ad0afc98b891b/Sphinx-5.1.1-py3-none-any.whl#sha256=309a8da80cb6da9f4713438e5b55861877d5d7976b69d87e336733637ea12693 PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g0] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-16] 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/python3.7/site-packages PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp2-g1] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 43%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp3-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp2-g0] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-16] 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] 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/python3.7/site-packages/Sphinx-5.1.1-py3.7.egg Searching for toml Reading https://pypi.org/simple/toml/ Downloading https://files.pythonhosted.org/packages/44/6f/7120676b6d73228c96e17f1f794d8ab046fc910d781c8d151120c3f1569e/toml-0.10.2-py2.py3-none-any.whl#sha256=806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp2-g1] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.0-7.4-scalers1-aggregators2-16-32] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-v-shp4-g1] Best match: toml 0.10.2 Processing toml-0.10.2-py2.py3-none-any.whl Installing toml-0.10.2-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 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 [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-add-e-e-shp0-g0] PASSED [ 44%] 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tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp1-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp2-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp2-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp3-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp3-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp4-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-u-shp4-g1] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp0-g0] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp0-g1] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-16] PASSED [ 44%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g0] Adding toml 0.10.2 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/toml-0.10.2-py3.7.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/python3.7/site-packages PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp1-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp3-g0] 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 [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp3-g1] Adding pycodestyle 2.9.1 to easy-install.pth file Installing pycodestyle script to /opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pycodestyle-2.9.1-py3.7.egg Searching for MarkupSafe>=2.0 Reading https://pypi.org/simple/MarkupSafe/ PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-16] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp2-g1] PASSED [ 91%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers0-aggregators1-16-32] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-v-shp3-g1] PASSED [ 92%] 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tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp1-g1] PASSED [ 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 [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp2-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp5-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp2-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp5-g1] 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 [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp3-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp3-g1] Downloading https://files.pythonhosted.org/packages/9f/83/b221ce5a0224f409b9f02b0dc6cb0b921c46033f4870d64fa3e8a96af701/MarkupSafe-2.1.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=e72591e9ecd94d7feb70c1cbd7be7b3ebea3f548870aa91e2732960fa4d57a37 Best match: MarkupSafe 2.1.1 Processing MarkupSafe-2.1.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl Installing MarkupSafe-2.1.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp4-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-u-e-shp4-g1] PASSED [ 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] Adding MarkupSafe 2.1.1 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/MarkupSafe-2.1.1-py3.7-linux-x86_64.egg Searching for imagesize Reading https://pypi.org/simple/imagesize/ Downloading https://files.pythonhosted.org/packages/ff/62/85c4c919272577931d407be5ba5d71c20f0b616d31a0befe0ae45bb79abd/imagesize-1.4.1-py2.py3-none-any.whl#sha256=0d8d18d08f840c19d0ee7ca1fd82490fdc3729b7ac93f49870406ddde8ef8d8b PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp0-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp0-g1] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp0-g0] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-16] Best match: imagesize 1.4.1 Processing imagesize-1.4.1-py2.py3-none-any.whl Installing imagesize-1.4.1-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp0-g1] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-2.5-scalers1-aggregators1-32-32] Adding imagesize 1.4.1 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/imagesize-1.4.1-py3.7.egg Searching for alabaster<0.8,>=0.7 Reading https://pypi.org/simple/alabaster/ PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp1-g1] 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] 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 PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp2-g0] Installing alabaster-0.7.12-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp2-g1] 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 [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp1-g0] PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp3-g0] PASSED [ 23%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp1-g1] Adding alabaster 0.7.12 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/alabaster-0.7.12-py3.7.egg Searching for babel>=1.3 Reading https://pypi.org/simple/babel/ PASSED [ 45%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp3-g1] 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] Downloading https://files.pythonhosted.org/packages/2e/57/a4177e24f8ed700c037e1eca7620097fdfbb1c9b358601e40169adf6d364/Babel-2.10.3-py3-none-any.whl#sha256=ff56f4892c1c4bf0d814575ea23471c230d544203c7748e8c68f0089478d48eb Best match: Babel 2.10.3 Processing Babel-2.10.3-py3-none-any.whl Installing Babel-2.10.3-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-u-shp4-g1] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators0-32-32] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp0-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp0-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp1-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp1-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp2-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp2-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp4-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-v-shp4-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp0-g0] PASSED [ 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 [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp0-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp2-g0] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-16] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp2-g1] Adding Babel 2.10.3 to easy-install.pth file Installing pybabel script to /opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/Babel-2.10.3-py3.7.egg Searching for snowballstemmer>=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/python3.7/site-packages PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators1-32-32] 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] Adding snowballstemmer 2.2.0 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/snowballstemmer-2.2.0-py3.7.egg Searching for docutils<0.20,>=0.14 Reading https://pypi.org/simple/docutils/ PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-16-16] 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 [ 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 [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp3-g0] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp3-g1] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers0-aggregators2-32-32] Downloading https://files.pythonhosted.org/packages/93/69/e391bd51bc08ed9141ecd899a0ddb61ab6465309f1eb470905c0c8868081/docutils-0.19-py3-none-any.whl#sha256=5e1de4d849fee02c63b040a4a3fd567f4ab104defd8a5511fbbc24a8a017efbc Best match: docutils 0.19 Processing docutils-0.19-py3-none-any.whl Installing docutils-0.19-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp3-g1] PASSED [ 46%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-v-e-shp4-g0] 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 [ 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 [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators0-32-16] Adding docutils 0.19 to easy-install.pth file Installing rst2html4.py script to /opt/conda/envs/pytorch-ci/bin Installing rstpep2html.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2man.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2xetex.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2s5.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2pseudoxml.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2html5.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2odt.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2latex.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2html.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2odt_prepstyles.py script to /opt/conda/envs/pytorch-ci/bin Installing rst2xml.py script to /opt/conda/envs/pytorch-ci/bin Installing docutils script to /opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/docutils-0.19-py3.7.egg Searching for Pygments>=2.0 Reading https://pypi.org/simple/Pygments/ PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp4-g0] 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 [ 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 [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp4-g1] PASSED [ 92%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators1-32-16] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp2-g0] Downloading https://files.pythonhosted.org/packages/4f/82/672cd382e5b39ab1cd422a672382f08a1fb3d08d9e0c0f3707f33a52063b/Pygments-2.13.0-py3-none-any.whl#sha256=f643f331ab57ba3c9d89212ee4a2dabc6e94f117cf4eefde99a0574720d14c42 Best match: Pygments 2.13.0 Processing Pygments-2.13.0-py3-none-any.whl Installing Pygments-2.13.0-py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 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 [ 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 [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp5-g0] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-16-4-0.1-7.4-scalers1-aggregators2-16-32] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp3-g1] 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] Adding Pygments 2.13.0 to easy-install.pth file Installing pygmentize script to /opt/conda/envs/pytorch-ci/bin Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/Pygments-2.13.0-py3.7.egg Searching for sphinxcontrib-qthelp Reading https://pypi.org/simple/sphinxcontrib-qthelp/ Downloading https://files.pythonhosted.org/packages/2b/14/05f9206cf4e9cfca1afb5fd224c7cd434dcc3a433d6d9e4e0264d29c6cdb/sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl#sha256=bd9fc24bcb748a8d51fd4ecaade681350aa63009a347a8c14e637895444dfab6 Best match: sphinxcontrib-qthelp 1.0.3 Processing sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl Installing sphinxcontrib_qthelp-1.0.3-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-u-shp4-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-mul-shp5-g1] PASSED [ 93%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-2.5-scalers0-aggregators0-16-16] PASSED [ 93%] 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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] Downloading https://files.pythonhosted.org/packages/c6/77/5464ec50dd0f1c1037e3c93249b040c8fc8078fdda97530eeb02424b6eea/sphinxcontrib_serializinghtml-1.1.5-py2.py3-none-any.whl#sha256=352a9a00ae864471d3a7ead8d7d79f5fc0b57e8b3f95e9867eb9eb28999b92fd Best match: sphinxcontrib-serializinghtml 1.1.5 Processing sphinxcontrib_serializinghtml-1.1.5-py2.py3-none-any.whl Installing sphinxcontrib_serializinghtml-1.1.5-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g0] 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 [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp1-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp0-g0] 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] Adding sphinxcontrib-serializinghtml 1.1.5 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/sphinxcontrib_serializinghtml-1.1.5-py3.7.egg Searching for sphinxcontrib-htmlhelp>=2.0.0 Reading https://pypi.org/simple/sphinxcontrib-htmlhelp/ Downloading https://files.pythonhosted.org/packages/63/40/c854ef09500e25f6432dcbad0f37df87fd7046d376272292d8654cc71c95/sphinxcontrib_htmlhelp-2.0.0-py2.py3-none-any.whl#sha256=d412243dfb797ae3ec2b59eca0e52dac12e75a241bf0e4eb861e450d06c6ed07 Best match: sphinxcontrib-htmlhelp 2.0.0 Processing sphinxcontrib_htmlhelp-2.0.0-py2.py3-none-any.whl Installing sphinxcontrib_htmlhelp-2.0.0-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[idtype0-sub-e-v-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp0-g1] 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 [ 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 [ 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%] 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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] Downloading https://files.pythonhosted.org/packages/c2/42/4c8646762ee83602e3fb3fbe774c2fac12f317deb0b5dbeeedd2d3ba4b77/sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl#sha256=2ec2eaebfb78f3f2078e73666b1415417a116cc848b72e5172e596c871103178 Best match: sphinxcontrib-jsmath 1.0.1 Processing sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl Installing sphinxcontrib_jsmath-1.0.1-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 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 [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp1-g0] PASSED [ 47%] 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tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators0-16-16] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp0-g1] Adding sphinxcontrib-jsmath 1.0.1 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/sphinxcontrib_jsmath-1.0.1-py3.7.egg Searching for sphinxcontrib-devhelp Reading https://pypi.org/simple/sphinxcontrib-devhelp/ Downloading https://files.pythonhosted.org/packages/c5/09/5de5ed43a521387f18bdf5f5af31d099605c992fd25372b2b9b825ce48ee/sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl#sha256=8165223f9a335cc1af7ffe1ed31d2871f325254c0423bc0c4c7cd1c1e4734a2e Best match: sphinxcontrib-devhelp 1.0.2 Processing sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl Installing sphinxcontrib_devhelp-1.0.2-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 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 [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp1-g0] 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 [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp1-g1] PASSED [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 94%] 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tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators0-32-16] Downloading https://files.pythonhosted.org/packages/dc/47/86022665a9433d89a66f5911b558ddff69861766807ba685de2e324bd6ed/sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl#sha256=806111e5e962be97c29ec4c1e7fe277bfd19e9652fb1a4392105b43e01af885a Best match: sphinxcontrib-applehelp 1.0.2 Processing sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl Installing sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl to /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp2-g1] 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 [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp3-g0] 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] Adding sphinxcontrib-applehelp 1.0.2 to easy-install.pth file Installed /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/sphinxcontrib_applehelp-1.0.2-py3.7.egg Searching for scikit-learn==1.0.2 Best match: scikit-learn 1.0.2 Adding scikit-learn 1.0.2 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for ogb==1.3.3 Best match: ogb 1.3.3 Adding ogb 1.3.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for threadpoolctl==3.1.0 Best match: threadpoolctl 3.1.0 Adding threadpoolctl 3.1.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for joblib==1.1.0 Best match: joblib 1.1.0 Adding joblib 1.1.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for scipy==1.7.3 Best match: scipy 1.7.3 Adding scipy 1.7.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for numpy==1.21.6 Best match: numpy 1.21.6 Adding numpy 1.21.6 to easy-install.pth file Installing f2py script to /opt/conda/envs/pytorch-ci/bin Installing f2py3 script to /opt/conda/envs/pytorch-ci/bin Installing f2py3.7 script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for Pillow==9.2.0 Best match: Pillow 9.2.0 Adding Pillow 9.2.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for outdated==0.2.1 Best match: outdated 0.2.1 Adding outdated 0.2.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for urllib3==1.26.11 Best match: urllib3 1.26.11 Adding urllib3 1.26.11 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for six==1.16.0 Best match: six 1.16.0 Adding six 1.16.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for pandas==1.1.5 Best match: pandas 1.1.5 Adding pandas 1.1.5 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for tqdm==4.64.0 Best match: tqdm 4.64.0 Adding tqdm 4.64.0 to easy-install.pth file Installing tqdm script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for torch==1.9.0+cpu Best match: torch 1.9.0+cpu Adding torch 1.9.0+cpu to easy-install.pth file Installing convert-caffe2-to-onnx script to /opt/conda/envs/pytorch-ci/bin Installing convert-onnx-to-caffe2 script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for typing-extensions==4.3.0 Best match: typing-extensions 4.3.0 Adding typing-extensions 4.3.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for click==8.1.3 Best match: click 8.1.3 Adding click 8.1.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for requests==2.28.1 Best match: requests 2.28.1 Adding requests 2.28.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for littleutils==0.2.2 Best match: littleutils 0.2.2 Adding littleutils 0.2.2 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for pytz==2022.2.1 Best match: pytz 2022.2.1 Adding pytz 2022.2.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for python-dateutil==2.8.2 Best match: python-dateutil 2.8.2 Adding python-dateutil 2.8.2 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for importlib-metadata==4.12.0 Best match: importlib-metadata 4.12.0 Adding importlib-metadata 4.12.0 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for packaging==21.3 Best match: packaging 21.3 Adding packaging 21.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for certifi==2022.6.15 Best match: certifi 2022.6.15 Adding certifi 2022.6.15 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for idna==3.3 Best match: idna 3.3 Adding idna 3.3 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for charset-normalizer==2.1.0 Best match: charset-normalizer 2.1.0 Adding charset-normalizer 2.1.0 to easy-install.pth file Installing normalizer script to /opt/conda/envs/pytorch-ci/bin Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for zipp==3.8.1 Best match: zipp 3.8.1 Adding zipp 3.8.1 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Searching for pyparsing==3.0.9 Best match: pyparsing 3.0.9 Adding pyparsing 3.0.9 to easy-install.pth file Using /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages Finished processing dependencies for dglgo==0.0.2 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: post1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: qthelp-1.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: qthelp-1.0.1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: qthelp-1.0.2 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: qthelp-1.0.3 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: serializinghtml-1.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: serializinghtml-1.1.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: serializinghtml-1.1.1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: serializinghtml-1.1.3 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: serializinghtml-1.1.4 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: serializinghtml-1.1.5 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: htmlhelp-1.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: htmlhelp-1.0.1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: htmlhelp-1.0.2 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: htmlhelp-1.0.3 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: htmlhelp-2.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: jsmath-1.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: jsmath-1.0.1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: devhelp-1.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: devhelp-1.0.1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: devhelp-1.0.2 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: applehelp-1.0.0 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: applehelp-1.0.1 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pkg_resources/__init__.py:125: PkgResourcesDeprecationWarning: applehelp-1.0.2 is an invalid version and will not be supported in a future release PkgResourcesDeprecationWarning, ~/jenkins/workspace/dgl_PR-4499@3 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 [ 94%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-v-shp4-g1] 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 [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g0] 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 [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp3-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp0-g1] Collecting psutil Downloading psutil-5.9.1-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (281 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 281.4/281.4 kB 8.3 MB/s eta 0:00:00 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 [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp1-g0] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-1-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 95%] 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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 [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp4-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp2-g1] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp4-g1] 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] ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/pytorch-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4499@3 collecting ... 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 [ 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 [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp4-g0] 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 [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-u-e-shp4-g1] 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 [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp5-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp0-g0] 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 [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp0-g1] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-16-32] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp1-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp5-g1] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators0-32-16] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp1-g1] 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 [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp2-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp0-g0] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-16-32] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp2-g1] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-16] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp3-g0] PASSED [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp0-g1] collected 81 items tests/go/test_model.py::test_gcn[g0] PASSED [ 1%] tests/go/test_model.py::test_gcn_block[g0] PASSED [ 2%] tests/go/test_model.py::test_gat[g0] PASSED [ 3%] tests/go/test_model.py::test_gat_block[g0] PASSED [ 4%] tests/go/test_model.py::test_gin[g0] PASSED [ 6%] tests/go/test_model.py::test_sage[g0] PASSED [ 7%] tests/go/test_model.py::test_sage_block[g0] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators1-32-32] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp3-g1] PASSED [ 8%] tests/go/test_model.py::test_sgc[g0] PASSED [ 9%] tests/go/test_model.py::test_bilinear PASSED [ 11%] tests/go/test_model.py::test_ele PASSED [ 12%] tests/go/test_model.py::test_ogbg_gin[True] PASSED [ 13%] tests/go/test_model.py::test_ogbg_gin[False] PASSED [ 95%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-16] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp4-g0] PASSED [ 14%] tests/go/test_model.py::test_pna PASSED [ 16%] tests/go/test_pipeline.py::test_nodepred_data[cora] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-32] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-u-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp0-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp0-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-v-shp1-g1] PASSED [ 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 [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp1-g0] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-16] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp1-g0] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-32-32] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp1-g1] 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 [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp2-g0] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-32] 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 [ 24%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp4-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-v-e-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp2-g1] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-16] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp0-g1] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators1-16-32] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp1-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp2-g0] 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 [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp2-g1] 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 [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g0] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-16] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-u-shp4-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp0-g0] PASSED [ 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 [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-32] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp1-g1] PASSED [ 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 [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp2-g0] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators0-32-16] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp5-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp2-g1] 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 [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp3-g0] 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 [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp3-g1] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-16-32] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp5-g1] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-16] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-v-shp4-g1] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers0-aggregators2-32-32] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp1-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp2-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp3-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp3-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-mul-e-e-shp4-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-u-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp1-g1] 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 [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp2-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp3-g1] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-16] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp4-g0] PASSED [ 17%] tests/go/test_pipeline.py::test_nodepred_data[citeseer] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp2-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-v-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp2-g1] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-32] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp1-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp2-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp2-g1] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-16] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp3-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp4-g0] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-32] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp4-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp4-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-u-e-shp4-g1] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-16] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp0-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp0-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp5-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp1-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-sum-copy_rhs-shp5-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp1-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp2-g0] PASSED [ 96%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-32] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp0-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp2-g1] 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 [ 25%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp0-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp3-g0] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators2-32-16] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp4-g0] PASSED [ 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 [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-u-shp4-g1] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp1-g0] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-16-32] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp0-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp0-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp1-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp1-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp2-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp3-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-v-shp4-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp0-g0] PASSED [ 25%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp1-g1] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators0-32-16] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp0-g1] 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp1-g1] PASSED [ 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp2-g1] PASSED [ 18%] tests/go/test_pipeline.py::test_nodepred_data[pubmed] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp3-g1] PASSED [ 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp4-g0] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-16] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-v-e-shp4-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp3-g0] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-32] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp0-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp3-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp1-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-u-shp2-g0] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-16] 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 [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp4-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 [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-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 [ 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp1-g1] PASSED [ 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 [ 26%] tests/compute/test_sparse.py::test_spmm[int32-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 [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-add-shp5-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp2-g1] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-32] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp4-g0] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-v-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-div-e-e-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-u-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp0-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g0] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-32] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g0] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-v-shp4-g1] PASSED [ 19%] tests/go/test_pipeline.py::test_nodepred_data[csv] 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 [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp0-g0] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-16-32] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp0-g1] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators0-32-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp2-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp1-g0] 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp1-g1] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators1-16-32] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp3-g0] 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp2-g1] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-16] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp3-g1] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-16-32] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp4-g0] PASSED [ 97%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-16] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-u-e-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp0-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp4-g1] 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp0-g1] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators0-16-32] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp1-g0] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators0-32-16] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp1-g1] 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp5-g0] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-16-32] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp2-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp5-g1] 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 [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp3-g1] PASSED [ 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 [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp4-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-u-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-v-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp0-g0] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-16] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp1-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp1-g0] PASSED [ 98%] tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-32] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g0] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g0] PASSED [ 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 [ 57%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-v-e-shp4-g1] PASSED [ 26%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g0] PASSED [ 20%] tests/go/test_pipeline.py::test_nodepred_data[reddit] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-u-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp0-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp5-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp5-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp2-g1] PASSED [ 99%] tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[4] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp3-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-v-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-dot-e-e-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-u-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp2-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp2-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-v-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g0] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp1-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g0] PASSED [ 22%] tests/go/test_pipeline.py::test_nodepred_data[co-buy-computer] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-u-e-shp4-g1] PASSED [ 27%] tests/compute/test_sparse.py::test_spmm[int32-min-div-shp5-g0] 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%] 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[ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-v-shp4-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_lhs-e-e-shp2-g1] PASSED [ 62%] 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tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp4-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-u-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp0-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp1-g0] PASSED [ 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%] 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[ 99%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp5-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp1-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-min-copy_rhs-shp5-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp2-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp3-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp3-g1] PASSED [ 99%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[2] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g0] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-v-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp0-g1] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp1-g1] PASSED [ 99%] tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[3] PASSED [ 28%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp2-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp3-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-u-e-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp4-g0] PASSED [ 24%] tests/go/test_pipeline.py::test_nodepred_data[ogbn-products] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g0] 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 =============================== python/dgl/backend/pytorch/tensor.py:16 python/dgl/backend/pytorch/tensor.py:16 /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/backend/pytorch/tensor.py:16: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(th.__version__) < LooseVersion("1.9.0"): python/dgl/backend/pytorch/tensor.py:340 python/dgl/backend/pytorch/tensor.py:340 /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/backend/pytorch/tensor.py:340: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(th.__version__) >= LooseVersion("1.10.0"): python/dgl/dataloading/dataloader.py:33 /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/dataloading/dataloader.py:33: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(torch.__version__) python/dgl/_dataloading/pytorch/dataloader.py:24 /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/_dataloading/pytorch/dataloader.py:24: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(th.__version__) python/dgl/_dataloading/pytorch/dataloader.py:25 /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/_dataloading/pytorch/dataloader.py:25: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_16 = PYTORCH_VER >= LooseVersion("1.6.0") python/dgl/_dataloading/pytorch/dataloader.py:26 /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/_dataloading/pytorch/dataloader.py:26: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_17 = PYTORCH_VER >= LooseVersion("1.7.0") tests/pytorch/test_dataloader.py::test_graph_dataloader /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/data/minigc.py:159: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information. Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations self.labels = F.tensor(np.array(self.labels).astype(np.int)) tests/pytorch/test_dataloader.py: 82 warnings /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/dataloading/dataloader.py:861: DGLWarning: Dataloader CPU affinity opt is not enabled, consider switching it on (see enable_cpu_affinity() or CPU best practices for DGL [https://docs.dgl.ai/tutorials/cpu/cpu_best_practises.html]) dgl_warning(f'Dataloader CPU affinity opt is not enabled, consider switching it on ' tests/pytorch/test_dataloader.py: 312 warnings /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/dataloading/dataloader.py:78: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if PYTORCH_VER >= LooseVersion("1.10.0"): tests/pytorch/test_dataloader.py: 48 warnings /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/dataloading/dataloader.py:83: DGLWarning: The current output_nodes are out of order even if set shuffle to False in Dataloader, the reason is that the current version of torch dose not support stable sort. Please update torch to 1.10.0 or higher to fix it. 'The current output_nodes are out of order even if set shuffle ' tests/pytorch/test_nn.py: 11 warnings tests/pytorch/test_pickle.py: 1 warning /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/pytorch/test_nn.py::test_set_trans /root/jenkins/workspace/dgl_PR-4499@2/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-4499@2/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-4499@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-4499@2/pytest_backend.xml - ============================ slowest 100 durations ============================= 20.20s call tests/pytorch/test_dist_optim.py::test_sparse_opt 18.18s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-None-False] 5.42s call tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[4] 4.87s call tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[4] 4.18s call tests/pytorch/test_optim.py::test_multiprocess_cpu_sparse_adam[2] 4.02s call tests/pytorch/test_optim.py::test_multiprocess_sparse_adam_cpu_zero_step[2] 3.75s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype1] 3.61s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype1] 3.43s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype1] 3.41s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype1] 3.32s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g4-idtype0] 3.30s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g0-idtype0] 3.28s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype1] 3.25s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g1-idtype0] 3.23s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g2-idtype0] 3.21s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype1] 3.18s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g5-idtype0] 3.11s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-full-idtype0] 2.83s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype0] 2.69s call tests/pytorch/test_nn.py::test_gnnexplainer[1-g3-idtype1] 2.65s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler1-full-idtype0] 2.12s 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[2-g3-idtype0] 1.98s call tests/pytorch/test_nn.py::test_gnnexplainer[2-g3-idtype1] 1.95s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler1-None-False] 1.69s call tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[3] 1.58s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype0] 1.49s call tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[2] 1.44s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype1] 1.40s call tests/pytorch/test_sparse_emb.py::test_multiprocess_sparse_emb_get_set[1] 1.35s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler2-full-idtype0] 1.32s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype1] 1.27s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators0-32-32] 1.26s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype0] 1.26s call tests/pytorch/test_dataloader.py::test_saint[walk-4] 1.24s call tests/pytorch/test_ipc.py::test_torch_ipc 1.17s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-full-idtype1] 1.13s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype1] 1.13s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype0] 1.12s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-16] 1.07s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-full-idtype0] 1.05s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-16] 1.03s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype0] 1.03s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor2-idtype1] 1.01s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators1-32-32] 0.98s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-2.5-scalers0-aggregators2-16-32] 0.98s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-16] 0.98s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-32-16] 0.96s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-True] 0.95s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype0] 0.95s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-32] 0.94s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-32] 0.93s call tests/pytorch/test_dataloader.py::test_saint[node-4] 0.92s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-32] 0.90s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators2-16-32] 0.90s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers1-aggregators2-32-32] 0.88s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler1-full-idtype1] 0.88s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-32-16] 0.87s call tests/pytorch/test_dataloader.py::test_edge_dataloader_excludes[1-sampler0-reverse_types-False] 0.86s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-32-16] 0.85s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-16-32] 0.85s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype1] 0.85s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler2-full-idtype1] 0.85s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor2-idtype0] 0.82s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators1-16-32] 0.81s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-32] 0.81s call tests/pytorch/test_dataloader.py::test_node_dataloader[False-cpu-neighbor-idtype0] 0.81s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-16-32] 0.80s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype1] 0.78s call tests/pytorch/test_dataloader.py::test_saint[edge-4] 0.75s call tests/pytorch/test_dataloader.py::test_shadow[4] 0.74s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-16-32] 0.72s call tests/pytorch/test_dataloader.py::test_node_dataloader[True-cpu-neighbor-idtype0] 0.71s call tests/pytorch/test_dataloader.py::test_cluster_gcn[4] 0.71s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-16] 0.70s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-32-16] 0.67s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers0-aggregators2-16-32] 0.67s call tests/pytorch/test_dataloader.py::test_edge_dataloader[True-cpu-neg_sampler0-full-idtype1] 0.67s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators0-16-16] 0.66s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype1] 0.65s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-2.5-scalers1-aggregators2-32-16] 0.65s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-7.4-scalers0-aggregators1-16-32] 0.63s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers1-aggregators2-16-32] 0.63s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.1-2.5-scalers0-aggregators2-16-16] 0.61s call tests/pytorch/test_dataloader.py::test_saint[walk-0] 0.61s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.0-7.4-scalers1-aggregators0-32-32] 0.60s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-7.4-scalers0-aggregators2-16-32] 0.59s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-16] 0.57s call tests/pytorch/test_dataloader.py::test_edge_dataloader[False-cpu-neg_sampler0-neighbor-idtype0] 0.57s call tests/pytorch/test_nn.py::test_dgn_conv[True-0-4-0.0-2.5-scalers0-aggregators1-32-16] 0.57s 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-16-4-0.1-7.4-scalers1-aggregators2-16-32] 0.56s call tests/pytorch/test_nn.py::test_pna_conv[True-0-4-0.0-2.5-scalers1-aggregators2-32-32] 0.56s call tests/pytorch/test_dataloader.py::test_neighbor_nonuniform[True-cpu-idtype0] 0.56s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators2-16-32] 0.55s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-2.5-scalers0-aggregators2-32-16] 0.54s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators1-32-32] 0.53s call tests/pytorch/test_nn.py::test_dgn_conv[True-16-4-0.0-7.4-scalers1-aggregators0-32-16] 0.53s call tests/pytorch/test_nn.py::test_pna_conv[False-0-4-0.1-7.4-scalers0-aggregators2-32-32] 0.51s call tests/pytorch/test_nn.py::test_dgn_conv[False-0-4-0.1-7.4-scalers1-aggregators1-32-32] ========= 3548 passed, 127 skipped, 467 warnings in 417.86s (0:06:57) ========== PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp1-g1] [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Torch CPU Example test) [Pipeline] sh PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp2-g0] + rm -rf BA-2motifs BA-2motifs-as-graphpred BA-2motifs.pkl BA-COMMUNITY BA-SHAPES CMakeLists.txt CONTRIBUTORS.md DD DD-as-graphpred DD.zip GINDataset GINDataset.zip IMDBBINARY IMDBMULTI Jenkinsfile LICENSE MUTAG MUTAG-as-graphpred NEWS.md PROTEINS PTC README.md TREE-CYCLES TREE-GRIDS ZINC_test ZINC_test.zip aifb-hetero aifb-hetero-as-nodepred aifb-hetero.zip amazon amazon.zip amazon_co_buy_computer amazon_co_buy_computer-as-nodepred amazon_co_buy_computer.zip amazon_co_buy_photo amazon_co_buy_photo.zip apps benchmarks build citeseer citeseer.zip cluster_gcn.pkl cmake coauthor_cs coauthor_cs.zip coauthor_physics coauthor_physics.zip conda cora_full cora_full.zip cora_v2 cora_v2-as-linkpred cora_v2.zip dataset default_name-as-nodepred dglgo docker docs examples featgraph flickr flickr.zip gossipcop gossipcop.zip include minigc ogbg-molhiv-as-graphpred ogbl-collab-as-linkpred ogbn-arxiv-as-nodepred optim_ip_config.txt politifact politifact-as-graphpred politifact.zip pubmed pubmed.zip pytest_backend.xml pytest_compute.xml python qm7b qm7b-as-graphpred qm7b.mat qm9-as-graphpred qm9Edge-as-graphpred qm9_eV.npz qm9_edge.npz readthedocs.yml reddit reddit.zip src tensoradapter tests third_party tools tutorials wiki_cs wiki_cs.zip yelp yelp.zip PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp2-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp5-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-add-shp5-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-u-shp4-g1] PASSED [ 29%]PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-v-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g0] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g0] [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@5881b282; decorates RemoteLauncher[hudson.remoting.Channel@2d9d6160:dgl-manual-large-cpu] will be ignored (a typical symptom is the Git executable not being run inside a designated container) Fetching changes from the remote Git repository Cleaning workspace PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp3-g1] > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4499@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 PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp2-g0] Fetching without tags PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g0] Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-v-e-shp4-g1] Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp2-g1] Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g0] > 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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4499 # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp0-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp1-g1] [Pipeline] sh PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g0] + git submodule update --recursive --init PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp2-g1] Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp3-g0] Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp4-g1] 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] Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp5-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-u-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-sub-shp5-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp0-g1] Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' 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] 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 [ 65%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g0] PASSED [ 29%]Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp2-g1] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp0-g0] Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp0-g1] 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 [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g0] Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' PASSED [ 25%] tests/go/test_pipeline.py::test_nodepred_model[gcn] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-v-shp4-g1] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp1-g0] Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype0-copy_rhs-e-e-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-u-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp1-g1] Submodule path 'third_party/tvm': checked out 'b2e418cb109df4cd1f17a2cf2894a1b396a6b838' Submodule path 'third_party/tvm/3rdparty/dlpack': checked out '3ec04430e89a6834e5a1b99471f415fa939bf642' PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp0-g1] Submodule path 'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g0] PASSED [ 29%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp2-g0] Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp1-g1] [Pipeline] echo Unpacked build/libdgl.so, build/runUnitTests, python/dgl/_ffi/_cy3/core.cpython-*-x86_64-linux-gnu.so, build/tensoradapter/pytorch/*.so from dgl-cpu-linux [Pipeline] timeout Timeout set to expire in 20 min [Pipeline] { [Pipeline] sh PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp2-g1] 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] + bash tests/scripts/task_example_test.sh cpu PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-v-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp0-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp4-g1] /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tensor([0.0140, 0.0081, 0.0078, 0.0142, 0.0136, 0.0035, 0.0103, 0.0077, 0.0154, 0.0074, 0.0121, 0.0101, 0.0111, 0.0056, 0.0062, 0.0015, 0.0083, 0.0076, 0.0137, 0.0075, 0.0115, 0.0118, 0.0127, 0.0015, 0.0116, 0.0080, 0.0151, 0.0102, 0.0099, 0.0095, 0.0057, 0.0059, 0.0076, 0.0100, 0.0096, 0.0105, 0.0076, 0.0098, 0.0122, 0.0037, 0.0151, 0.0195, 0.0094, 0.0056, 0.0158, 0.0119, 0.0057, 0.0034, 0.0088, 0.0060, 0.0082, 0.0059, 0.0075, 0.0116, 0.0101, 0.0099, 0.0130, 0.0111, 0.0097, 0.0113, 0.0079, 0.0096, 0.0126, 0.0078, 0.0059, 0.0175, 0.0116, 0.0058, 0.0040, 0.0094, 0.0176, 0.0204, 0.0146, 0.0095, 0.0106, 0.0072, 0.0113, 0.0136, 0.0076, 0.0092, 0.0159, 0.0056, 0.0083, 0.0131, 0.0079, 0.0144, 0.0225, 0.0099, 0.0036, 0.0056, 0.0079, 0.0077, 0.0093, 0.0091, 0.0104, 0.0115, 0.0095, 0.0074, 0.0076, 0.0124]) PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp2-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp5-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-mul-shp5-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-u-e-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp3-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp2-g1] Training with DGL built-in GraphConv module. Downloading /root/jenkins/workspace/dgl_PR-4499@2/cora_v2.zip from https://data.dgl.ai/dataset/cora_v2.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4499@2/cora_v2 Finished data loading and preprocessing. NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done saving data into cached files. Training... Epoch 00000 | Loss 1.9450 | Accuracy 0.0760 Epoch 00001 | Loss 1.9389 | Accuracy 0.1180 Epoch 00002 | Loss 1.9314 | Accuracy 0.4980 Epoch 00003 | Loss 1.9214 | Accuracy 0.5420 Epoch 00004 | Loss 1.9115 | Accuracy 0.5800 Epoch 00005 | Loss 1.8998 | Accuracy 0.6140 Epoch 00006 | Loss 1.8949 | Accuracy 0.6480 Epoch 00007 | Loss 1.8838 | Accuracy 0.6820 Epoch 00008 | Loss 1.8676 | Accuracy 0.7040 Epoch 00009 | Loss 1.8543 | Accuracy 0.7040 Epoch 00010 | Loss 1.8471 | Accuracy 0.6980 Epoch 00011 | Loss 1.8352 | Accuracy 0.7020 Epoch 00012 | Loss 1.8154 | Accuracy 0.7020 Epoch 00013 | Loss 1.7983 | Accuracy 0.6900 Epoch 00014 | Loss 1.7900 | Accuracy 0.6860 Epoch 00015 | Loss 1.7704 | Accuracy 0.6860 Epoch 00016 | Loss 1.7495 | Accuracy 0.6940 Epoch 00017 | Loss 1.7314 | Accuracy 0.6920 Epoch 00018 | Loss 1.7148 | Accuracy 0.7000 Epoch 00019 | Loss 1.7164 | Accuracy 0.6980 Epoch 00020 | Loss 1.6875 | Accuracy 0.7040 Epoch 00021 | Loss 1.6718 | Accuracy 0.7040 Epoch 00022 | Loss 1.6672 | Accuracy 0.7080 Epoch 00023 | Loss 1.6238 | Accuracy 0.7060 Epoch 00024 | Loss 1.6096 | Accuracy 0.7080 Epoch 00025 | Loss 1.5902 | Accuracy 0.7100 Epoch 00026 | Loss 1.5693 | Accuracy 0.7140 Epoch 00027 | Loss 1.5626 | Accuracy 0.7140 Epoch 00028 | Loss 1.5366 | Accuracy 0.7280 Epoch 00029 | Loss 1.5305 | Accuracy 0.7380 Epoch 00030 | Loss 1.4792 | Accuracy 0.7340 Epoch 00031 | Loss 1.4796 | Accuracy 0.7360 Epoch 00032 | Loss 1.4468 | Accuracy 0.7380 Epoch 00033 | Loss 1.4194 | Accuracy 0.7360 Epoch 00034 | Loss 1.3990 | Accuracy 0.7380 Epoch 00035 | Loss 1.3829 | Accuracy 0.7400 Epoch 00036 | Loss 1.3413 | Accuracy 0.7400 Epoch 00037 | Loss 1.3395 | Accuracy 0.7460 Epoch 00038 | Loss 1.3015 | Accuracy 0.7480 Epoch 00039 | Loss 1.2939 | Accuracy 0.7520 Epoch 00040 | Loss 1.2702 | Accuracy 0.7580 Epoch 00041 | Loss 1.2646 | Accuracy 0.7700 Epoch 00042 | Loss 1.2375 | Accuracy 0.7740 Epoch 00043 | Loss 1.1786 | Accuracy 0.7760 Epoch 00044 | Loss 1.1512 | Accuracy 0.7760 Epoch 00045 | Loss 1.1645 | Accuracy 0.7700 Epoch 00046 | Loss 1.1245 | Accuracy 0.7680 Epoch 00047 | Loss 1.1248 | Accuracy 0.7620 Epoch 00048 | Loss 1.0859 | Accuracy 0.7560 Epoch 00049 | Loss 1.0749 | Accuracy 0.7540 Epoch 00050 | Loss 1.0855 | Accuracy 0.7540 Epoch 00051 | Loss 1.0487 | Accuracy 0.7560 Epoch 00052 | Loss 1.0238 | Accuracy 0.7700 Epoch 00053 | Loss 0.9793 | Accuracy 0.7740 Epoch 00054 | Loss 0.9797 | Accuracy 0.7720 Epoch 00055 | Loss 0.9398 | Accuracy 0.7840 Epoch 00056 | Loss 0.9313 | Accuracy 0.7900 Epoch 00057 | Loss 0.9267 | Accuracy 0.7840 Epoch 00058 | Loss 0.8711 | Accuracy 0.7880 Epoch 00059 | Loss 0.8915 | Accuracy 0.7920 Epoch 00060 | Loss 0.8796 | Accuracy 0.7900 Epoch 00061 | Loss 0.8864 | Accuracy 0.7900 Epoch 00062 | Loss 0.8763 | Accuracy 0.7840 Epoch 00063 | Loss 0.8126 | Accuracy 0.7800 Epoch 00064 | Loss 0.8209 | Accuracy 0.7860 Epoch 00065 | Loss 0.8323 | Accuracy 0.7840 Epoch 00066 | Loss 0.8164 | Accuracy 0.7900 Epoch 00067 | Loss 0.7997 | Accuracy 0.7900 Epoch 00068 | Loss 0.7840 | Accuracy 0.7920 Epoch 00069 | Loss 0.7544 | Accuracy 0.7920 Epoch 00070 | Loss 0.7638 | Accuracy 0.7980 Epoch 00071 | Loss 0.7448 | Accuracy 0.7960 Epoch 00072 | Loss 0.7311 | Accuracy 0.7880 Epoch 00073 | Loss 0.7244 | Accuracy 0.7880 Epoch 00074 | Loss 0.6766 | Accuracy 0.7880 Epoch 00075 | Loss 0.7153 | Accuracy 0.7900 Epoch 00076 | Loss 0.6786 | Accuracy 0.7940 Epoch 00077 | Loss 0.6595 | Accuracy 0.7900 Epoch 00078 | Loss 0.6742 | Accuracy 0.7920 Epoch 00079 | Loss 0.6593 | Accuracy 0.7940 Epoch 00080 | Loss 0.6584 | Accuracy 0.7960 Epoch 00081 | Loss 0.6297 | Accuracy 0.7960 Epoch 00082 | Loss 0.6346 | Accuracy 0.7940 Epoch 00083 | Loss 0.6258 | Accuracy 0.7880 Epoch 00084 | Loss 0.5908 | Accuracy 0.7860 Epoch 00085 | Loss 0.6035 | Accuracy 0.7860 Epoch 00086 | Loss 0.6310 | Accuracy 0.7860 Epoch 00087 | Loss 0.5786 | Accuracy 0.7860 Epoch 00088 | Loss 0.6117 | Accuracy 0.7920 Epoch 00089 | Loss 0.5399 | Accuracy 0.7960 Epoch 00090 | Loss 0.5859 | Accuracy 0.7920 Epoch 00091 | Loss 0.5771 | Accuracy 0.7880 Epoch 00092 | Loss 0.5821 | Accuracy 0.7900 Epoch 00093 | Loss 0.5320 | Accuracy 0.7900 Epoch 00094 | Loss 0.5551 | Accuracy 0.7920 Epoch 00095 | Loss 0.5694 | Accuracy 0.7940 Epoch 00096 | Loss 0.5620 | Accuracy 0.7980 Epoch 00097 | Loss 0.5386 | Accuracy 0.7960 Epoch 00098 | Loss 0.5503 | Accuracy 0.7940 Epoch 00099 | Loss 0.5254 | Accuracy 0.7840 Epoch 00100 | Loss 0.5072 | Accuracy 0.7860 Epoch 00101 | Loss 0.5198 | Accuracy 0.7880 Epoch 00102 | Loss 0.5050 | Accuracy 0.7920 Epoch 00103 | Loss 0.5013 | Accuracy 0.7940 Epoch 00104 | Loss 0.4913 | Accuracy 0.7960 Epoch 00105 | Loss 0.5044 | Accuracy 0.8020 Epoch 00106 | Loss 0.4839 | Accuracy 0.7960 Epoch 00107 | Loss 0.4987 | Accuracy 0.7940 Epoch 00108 | Loss 0.4827 | Accuracy 0.7900 Epoch 00109 | Loss 0.4995 | Accuracy 0.7900 Epoch 00110 | Loss 0.4715 | Accuracy 0.7900 Epoch 00111 | Loss 0.4859 | Accuracy 0.7880 Epoch 00112 | Loss 0.5086 | Accuracy 0.7920 Epoch 00113 | Loss 0.4649 | Accuracy 0.7900 Epoch 00114 | Loss 0.4534 | Accuracy 0.7920 Epoch 00115 | Loss 0.4462 | Accuracy 0.7900 Epoch 00116 | Loss 0.4459 | Accuracy 0.7920 Epoch 00117 | Loss 0.4793 | Accuracy 0.7920 Epoch 00118 | Loss 0.4541 | Accuracy 0.7920 Epoch 00119 | Loss 0.4524 | Accuracy 0.7940 Epoch 00120 | Loss 0.4252 | Accuracy 0.7980 Epoch 00121 | Loss 0.4360 | Accuracy 0.7940 Epoch 00122 | Loss 0.4356 | Accuracy 0.7940 Epoch 00123 | Loss 0.3867 | Accuracy 0.7960 Epoch 00124 | Loss 0.4625 | Accuracy 0.7960 Epoch 00125 | Loss 0.4063 | Accuracy 0.7920 Epoch 00126 | Loss 0.4128 | Accuracy 0.7920 Epoch 00127 | Loss 0.4245 | Accuracy 0.7940 Epoch 00128 | Loss 0.4282 | Accuracy 0.7940 Epoch 00129 | Loss 0.4375 | Accuracy 0.7940 Epoch 00130 | Loss 0.4346 | Accuracy 0.7940 Epoch 00131 | Loss 0.4767 | Accuracy 0.8000 Epoch 00132 | Loss 0.3879 | Accuracy 0.7980 Epoch 00133 | Loss 0.3986 | Accuracy 0.8000 Epoch 00134 | Loss 0.4524 | Accuracy 0.8000 Epoch 00135 | Loss 0.3915 | Accuracy 0.8000 Epoch 00136 | Loss 0.3816 | Accuracy 0.8020 Epoch 00137 | Loss 0.4128 | Accuracy 0.8000 Epoch 00138 | Loss 0.3817 | Accuracy 0.7900 Epoch 00139 | Loss 0.3863 | Accuracy 0.7920 Epoch 00140 | Loss 0.4072 | Accuracy 0.7880 Epoch 00141 | Loss 0.3842 | Accuracy 0.7900 Epoch 00142 | Loss 0.3933 | Accuracy 0.7920 Epoch 00143 | Loss 0.4020 | Accuracy 0.7880 Epoch 00144 | Loss 0.4216 | Accuracy 0.7920 Epoch 00145 | Loss 0.3976 | Accuracy 0.7980 Epoch 00146 | Loss 0.3612 | Accuracy 0.8020 Epoch 00147 | Loss 0.3763 | Accuracy 0.8020 Epoch 00148 | Loss 0.3739 | Accuracy 0.8020 Epoch 00149 | Loss 0.3530 | Accuracy 0.7980 Epoch 00150 | Loss 0.3597 | Accuracy 0.7940 Epoch 00151 | Loss 0.4059 | Accuracy 0.7960 Epoch 00152 | Loss 0.3468 | Accuracy 0.7940 Epoch 00153 | Loss 0.3550 | Accuracy 0.7960 Epoch 00154 | Loss 0.3643 | Accuracy 0.7940 Epoch 00155 | Loss 0.3590 | Accuracy 0.7940 Epoch 00156 | Loss 0.3840 | Accuracy 0.7960 Epoch 00157 | Loss 0.3421 | Accuracy 0.7920 Epoch 00158 | Loss 0.3906 | Accuracy 0.7960 Epoch 00159 | Loss 0.3696 | Accuracy 0.7960 Epoch 00160 | Loss 0.3737 | Accuracy 0.7960 Epoch 00161 | Loss 0.3930 | Accuracy 0.7980 Epoch 00162 | Loss 0.3673 | Accuracy 0.8040 Epoch 00163 | Loss 0.3686 | Accuracy 0.8020 Epoch 00164 | Loss 0.3441 | Accuracy 0.7960 Epoch 00165 | Loss 0.3727 | Accuracy 0.7940 Epoch 00166 | Loss 0.3409 | Accuracy 0.7940 Epoch 00167 | Loss 0.3134 | Accuracy 0.7960 Epoch 00168 | Loss 0.3277 | Accuracy 0.7940 Epoch 00169 | Loss 0.3431 | Accuracy 0.7920 Epoch 00170 | Loss 0.3450 | Accuracy 0.7920 Epoch 00171 | Loss 0.3135 | Accuracy 0.7900 Epoch 00172 | Loss 0.3265 | Accuracy 0.7940 Epoch 00173 | Loss 0.3504 | Accuracy 0.7980 Epoch 00174 | Loss 0.3113 | Accuracy 0.7960 Epoch 00175 | Loss 0.3364 | Accuracy 0.8000 Epoch 00176 | Loss 0.3543 | Accuracy 0.8020 Epoch 00177 | Loss 0.3333 | Accuracy 0.8020 Epoch 00178 | Loss 0.3504 | Accuracy 0.8020 Epoch 00179 | Loss 0.3740 | Accuracy 0.7980 Epoch 00180 | Loss 0.2976 | Accuracy 0.7940 Epoch 00181 | Loss 0.3312 | Accuracy 0.7900 Epoch 00182 | Loss 0.3080 | Accuracy 0.7920 Epoch 00183 | Loss 0.3347 | Accuracy 0.7940 Epoch 00184 | Loss 0.3298 | Accuracy 0.7960 Epoch 00185 | Loss 0.3263 | Accuracy 0.7960 Epoch 00186 | Loss 0.3191 | Accuracy 0.8000 Epoch 00187 | Loss 0.3417 | Accuracy 0.7980 Epoch 00188 | Loss 0.2908 | Accuracy 0.7980 Epoch 00189 | Loss 0.2992 | Accuracy 0.8000 Epoch 00190 | Loss 0.2837 | Accuracy 0.7980 Epoch 00191 | Loss 0.3183 | Accuracy 0.7940 Epoch 00192 | Loss 0.3471 | Accuracy 0.7940 Epoch 00193 | Loss 0.2975 | Accuracy 0.7960 Epoch 00194 | Loss 0.2959 | Accuracy 0.8000 Epoch 00195 | Loss 0.3237 | Accuracy 0.7980 Epoch 00196 | Loss 0.3178 | Accuracy 0.7980 Epoch 00197 | Loss 0.3037 | Accuracy 0.8020 Epoch 00198 | Loss 0.2692 | Accuracy 0.7980 Epoch 00199 | Loss 0.3167 | Accuracy 0.8000 Testing... Test accuracy 0.8150 PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-u-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp2-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-v-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp0-g1] PASSED [ 27%] tests/go/test_pipeline.py::test_nodepred_model[gat] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-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, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 9.9963e-01, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5618e-05, 0.0000e+00], [0.0000e+00, 0.0000e+00, 0.0000e+00, 4.5620e-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]])]} Testing LatentDirichletAllocation passed! PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp1-g1] [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Torch CPU Tutorial test) PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp4-g0] [Pipeline] sh PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp2-g1] + rm -rf CMakeLists.txt CONTRIBUTORS.md Jenkinsfile LICENSE NEWS.md README.md apps benchmarks build cmake conda cora_v2 cora_v2.zip dglgo docker docs examples featgraph include python readthedocs.yml src tensoradapter tests third_party tools tutorials 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 [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp5-g0] [Pipeline] checkout The recommended git tool is: git using credential 786e4b1b-86b9-4b2a-8500-f731d83996aa Warning: JENKINS-30600: special launcher org.jenkinsci.plugins.docker.workflow.WithContainerStep$Decorator$1@60c8cd44; decorates RemoteLauncher[hudson.remoting.Channel@2d9d6160: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 [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-v-e-shp4-g1] Fetching without tags PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-div-shp5-g1] Merging remotes/origin/master commit 2dd06b21529d77fa398706444f6db080378e8a79 into PR head commit cc8ad71927f963772a0d0084d04393ba511ed3ba PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp0-g1] Merge succeeded, producing cc8ad71927f963772a0d0084d04393ba511ed3ba Checking out Revision cc8ad71927f963772a0d0084d04393ba511ed3ba (PR-4499) Commit message: "Merge branch 'master' into rm_cub" Cleaning workspace PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g0] > git rev-parse --resolve-git-dir /root/jenkins/workspace/dgl_PR-4499@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 new personal access key generated by RY220902 > git fetch --no-tags --progress -- https://github.com/dmlc/dgl.git +refs/pull/4499/head:refs/remotes/origin/PR-4499 +refs/heads/master:refs/remotes/origin/master # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git remote # timeout=10 > git config --get remote.origin.url # timeout=10 using GIT_ASKPASS to set credentials new personal access key generated by RY220902 > git merge 2dd06b21529d77fa398706444f6db080378e8a79 # timeout=10 > git rev-parse HEAD^{commit} # timeout=10 > git config core.sparsecheckout # timeout=10 > git checkout -f cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git branch -a -v --no-abbrev # timeout=10 > git branch -D PR-4499 # timeout=10 > git checkout -b PR-4499 cc8ad71927f963772a0d0084d04393ba511ed3ba # timeout=10 > git rev-parse --verify HEAD # timeout=10 Resetting working tree > git reset --hard # timeout=10 > git clean -fdx # timeout=10 PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp1-g1] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp0-g1] [Pipeline] sh 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 [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp3-g1] + git submodule update --recursive --init PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g0] Submodule path 'third_party/METIS': checked out '10603482cc055626ff99d2ac3ab7e73d1119439d' Submodule path 'third_party/METIS/GKlib': checked out '62de20c7f97c719abdc96d7c3e266a1f7cb52bc5' Submodule path 'third_party/dlpack': checked out 'bee4d1dd8dc1ee4a1fd8fa6a96476c2f8b7492a3' PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-u-shp4-g1] Submodule path 'third_party/dmlc-core': checked out 'bfad207b448480783a1f428ae3d93d87032d8349' Submodule path 'third_party/googletest': checked out 'f71fb4f9a912ec945401cc49a287a759b6131026' 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 [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g0] PASSED [ 30%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp2-g1] Submodule path 'third_party/libxsmm': checked out 'fa687556130b6298430f1c0555a14cf79ab6101c' PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp1-g1] Submodule path 'third_party/nanoflann': checked out '4c47ca200209550c5628c89803591f8a753c8181' Submodule path 'third_party/nccl': checked out 'e11238b3029795d33f958b5868d47c90c4f22628' PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp3-g0] Submodule path 'third_party/phmap': checked out '25293cefd8b85491b45600c03fe8edf07647553f' Submodule path 'third_party/tensorpipe': checked out '6042f1a4cbce8eef997f11ed0012de137b317361' PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp3-g1] Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e' Submodule path 'third_party/tensorpipe/third_party/libnop': checked out 'aa95422ea8c409e3f078d2ee7708a5f59a8b9fa2' PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp3-g0] Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '1dff88e5161cba5c59276d2070d2e304e4dcb242' Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef' PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[idtype1-add-e-v-shp3-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp4-g0] Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5' Submodule path 'third_party/thrust': checked out '6a3078c64cab0e2f276340fa5dcafa0d758ed890' 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 [ 28%] tests/go/test_pipeline.py::test_nodepred_model[sage] PASSED [ 31%]Submodule path 'third_party/thrust/dependencies/cub': checked out 'cdaa9558a85e45d849016e5fe7b6e4ee79113f95' PASSED [ 69%] 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'third_party/tvm/3rdparty/dmlc-core': checked out '6c401e242c59a1f4c913918246591bb13fd714e7' Submodule path 'third_party/tvm/3rdparty/rang': checked out 'cabe04d6d6b05356fa8f9741704924788f0dd762' 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 [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp5-g0] Submodule path 'third_party/tvm/3rdparty/vta-hw': checked out '87ce9acfae550d1a487746e9d06c2e250076e54c' Submodule path 'third_party/xbyak': checked out '757e4063f6464740b8ff4a2cae9136d2f8458020' [Pipeline] unstash PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp1-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_lhs-shp5-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 [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g0] + bash tests/scripts/task_pytorch_tutorial_test.sh PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp2-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g0] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp3-g1] PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp4-g0] Requirement already satisfied: networkx>=2.1 in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from -r requirements.txt (line 1)) (2.6.3) Requirement already satisfied: torch in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from -r requirements.txt (line 2)) (1.9.0+cpu) Requirement already satisfied: numpy in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from -r requirements.txt (line 3)) (1.21.6) Collecting seaborn Downloading seaborn-0.11.2-py3-none-any.whl (292 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 292.8/292.8 kB 9.8 MB/s eta 0:00:00 Requirement already satisfied: matplotlib in /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages (from -r requirements.txt (line 5)) (3.5.3) Collecting pygraphviz Downloading pygraphviz-1.7.zip (118 kB) PASSED [ 31%] tests/compute/test_sparse.py::test_spmm[int32-max-copy_rhs-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-v-shp4-g1] ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 118.8/118.8 kB 18.1 MB/s eta 0:00:00 Preparing metadata (setup.py): started PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-u-e-shp0-g0] PASSED [ 31%] 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tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp2-g1] Building wheel for pygraphviz (setup.py): finished with status 'done' Created wheel for pygraphviz: filename=pygraphviz-1.7-cp37-cp37m-linux_x86_64.whl size=199318 sha256=d00d5818465c2672715531b06c8f806f21fe8704cbacb0d09b5387a18c28de9d Stored in directory: /root/.cache/pip/wheels/8c/bc/0c/ac35392b72556e75107ff610cb31b313e8471918a6d280e34c Successfully built pygraphviz Installing collected packages: pygraphviz, graphviz, seaborn Successfully installed graphviz-0.20.1 pygraphviz-1.7 seaborn-0.11.2 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 Running tutorial ./multi/2_node_classification.py ... PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-v-e-shp3-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp4-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] WARNING:root:The OGB package is out of date. Your version is 1.3.3, while the latest version is 1.3.4. PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp0-g1] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp5-g0] PASSED [ 32%] tests/compute/test_sparse.py::test_spmm[int64-sum-add-shp5-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[idtype1-sub-e-u-shp1-g0] Downloading http://snap.stanford.edu/ogb/data/nodeproppred/arxiv.zip 0%| | 0/81 [00:00= LooseVersion("1.17.0"): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:23 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:23: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead. 'nearest': pil_image.NEAREST, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:24 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:24: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead. 'bilinear': pil_image.BILINEAR, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:25 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:25: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead. 'bicubic': pil_image.BICUBIC, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:28 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:28: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead. if hasattr(pil_image, 'HAMMING'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:29 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:29: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead. _PIL_INTERPOLATION_METHODS['hamming'] = pil_image.HAMMING ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:30 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:30: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead. if hasattr(pil_image, 'BOX'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:31 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:31: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead. _PIL_INTERPOLATION_METHODS['box'] = pil_image.BOX ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:33 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:33: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead. if hasattr(pil_image, 'LANCZOS'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:34 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:34: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead. _PIL_INTERPOLATION_METHODS['lanczos'] = pil_image.LANCZOS python/dgl/backend/tensorflow/tensor.py:15 python/dgl/backend/tensorflow/tensor.py:15 /root/jenkins/workspace/dgl_PR-4499/python/dgl/backend/tensorflow/tensor.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(tf.__version__) < LooseVersion("2.3.0"): tests/compute/test_basics.py: 2 warnings tests/compute/test_filter.py: 1 warning tests/compute/test_graph.py: 9 warnings tests/compute/test_kernel.py: 3 warnings tests/compute/test_propagate.py: 2 warnings tests/compute/test_removal.py: 16 warnings tests/compute/test_serialize.py: 3 warnings tests/compute/test_specialization.py: 12 warnings tests/compute/test_subgraph.py: 2 warnings tests/compute/test_transform.py: 10 warnings tests/compute/test_traversal.py: 2 warnings /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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_citation_graph /root/jenkins/workspace/dgl_PR-4499/python/dgl/data/citation_graph.py:287: RuntimeWarning: divide by zero encountered in power r_inv = np.power(rowsum, -1).flatten() tests/compute/test_data.py::test_csvdataset /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/numpy/lib/arraysetops.py:565: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison mask &= (ar1 != a) tests/compute/test_data.py::test_csvdataset /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/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-4499/pytest_compute.xml -- ============================ slowest 100 durations ============================= 219.35s call tests/compute/test_kernel.py::test_all_binary_builtins 71.46s call tests/compute/test_data.py::test_reddit 52.36s call tests/compute/test_data.py::test_gin 49.43s call tests/compute/test_data.py::test_fakenews 32.94s call tests/compute/test_data.py::test_as_graphpred 25.53s call tests/compute/test_data.py::test_explain_syn 10.61s call tests/compute/test_data.py::test_tudataset_regression 10.31s call tests/compute/test_data.py::test_gnn_benchmark 9.34s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 8.54s call tests/compute/test_transform.py::test_metis_partition[idtype1] 7.43s call tests/compute/test_data.py::test_as_graphpred_reprocess 6.88s call tests/compute/test_sampling.py::test_sample_neighbors_prob 6.02s call tests/compute/test_heterograph.py::test_query[idtype1] 5.16s call tests/compute/test_kernel.py::test_copy_src_reduce 4.90s call tests/compute/test_kernel.py::test_copy_edge_reduce 4.64s call tests/compute/test_heterograph.py::test_query[idtype0] 4.63s call tests/compute/test_graph.py::test_query 4.44s call tests/compute/test_data.py::test_citation_graph 4.42s call tests/compute/test_heterograph.py::test_updates[idtype0] 4.06s call tests/compute/test_data.py::test_fraud 3.90s call tests/compute/test_data.py::test_wiki_cs 3.80s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 3.56s call tests/compute/test_heterograph.py::test_updates[idtype1] 2.80s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype0] 2.78s call tests/compute/test_heterograph.py::test_forking_pickler 2.67s call tests/compute/test_data.py::test_add_nodepred_split 2.66s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype0] 2.56s call tests/compute/test_heterograph.py::test_level2[idtype1] 2.56s call tests/compute/test_specialization.py::test_pull_multi_fallback[idtype1] 2.41s call tests/compute/test_data.py::test_flickr 2.36s call tests/compute/test_specialization.py::test_spmv_3d_feat[idtype1] 2.20s call tests/compute/test_specialization.py::test_v2v_pull[idtype0] 2.10s call tests/compute/test_data.py::test_csvdataset 2.03s call tests/compute/test_heterograph.py::test_level2[idtype0] 1.80s call tests/compute/test_specialization.py::test_v2v_snr[idtype0] 1.68s call tests/compute/test_specialization.py::test_v2v_pull[idtype1] 1.68s call tests/compute/test_specialization.py::test_v2v_snr[idtype1] 1.66s call tests/compute/test_propagate.py::test_prop_edges_dfs[idtype1] 1.63s call tests/compute/test_propagate.py::test_prop_edges_dfs[idtype0] 1.52s call tests/compute/test_transform.py::test_reorder_nodes 1.41s call tests/compute/test_transform.py::test_partition_with_halo 1.36s call tests/compute/test_subgraph.py::test_in_subgraph[idtype0] 1.30s call tests/compute/test_heterograph.py::test_view1[idtype1] 1.29s call tests/compute/test_subgraph.py::test_in_subgraph[idtype1] 1.26s call tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype1] 1.26s call tests/compute/test_heterograph.py::test_view1[idtype0] 1.20s call tests/compute/test_heterograph.py::test_format[idtype0] 1.20s call tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype0] 1.18s call tests/compute/test_heterograph.py::test_format[idtype1] 1.18s call tests/compute/test_subgraph.py::test_khop_in_subgraph[idtype0] 1.09s call tests/compute/test_sampler.py::test_10neighbor_sampler_all 1.08s call tests/compute/test_sampling.py::test_sample_neighbors_topk 1.07s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp1-g1] 1.06s call tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp1-g1] 1.05s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 1.03s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g1] 1.03s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp4-g1] 1.02s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp2-g0] 1.02s call tests/compute/test_subgraph.py::test_out_subgraph[idtype1] 1.01s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp2-g1] 1.01s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp2-g1] 1.00s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g1] 1.00s call tests/compute/test_subgraph.py::test_khop_out_subgraph[idtype1] 0.98s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp2-g1] 0.98s call tests/compute/test_sparse.py::test_spmm[idtype0-min-div-shp3-g0] 0.97s call tests/compute/test_subgraph.py::test_out_subgraph[idtype0] 0.96s call tests/compute/test_transform.py::test_khop_graph 0.94s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp5-g0] 0.94s call tests/compute/test_heterograph.py::test_types_in_function[idtype0] 0.93s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g1] 0.93s call tests/compute/test_specialization.py::test_v2v_update_all[idtype1] 0.92s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_rhs-shp4-g1] 0.92s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_rhs-shp0-g1] 0.91s call tests/compute/test_sparse.py::test_spmm[idtype0-min-mul-shp3-g1] 0.91s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp3-g1] 0.90s call tests/compute/test_sparse.py::test_spmm[idtype0-max-copy_lhs-shp5-g0] 0.90s call tests/compute/test_sparse.py::test_spmm[idtype0-min-copy_lhs-shp1-g1] 0.90s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-div-shp1-g1] 0.90s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g1] 0.89s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp4-g1] 0.89s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp5-g1] 0.89s call tests/compute/test_sparse.py::test_spmm[idtype1-min-copy_rhs-shp5-g1] 0.89s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp4-g0] 0.89s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp2-g0] 0.88s call tests/compute/test_sparse.py::test_spmm[idtype1-min-sub-shp0-g1] 0.88s call tests/compute/test_specialization.py::test_v2v_update_all[idtype0] 0.88s call tests/compute/test_sparse.py::test_spmm[idtype1-min-div-shp2-g1] 0.88s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_lhs-shp5-g1] 0.87s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp1-g1] 0.87s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-sub-shp5-g1] 0.86s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-add-shp4-g1] 0.86s call tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp0-g1] 0.86s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-copy_rhs-shp4-g1] 0.85s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-add-shp0-g1] 0.85s call tests/compute/test_sparse.py::test_spmm[idtype0-sum-copy_rhs-shp3-g1] 0.85s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp4-g1] 0.85s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-sub-shp0-g0] 0.84s call tests/compute/test_sparse.py::test_spmm[idtype0-min-sub-shp1-g1] 0.84s call tests/compute/test_sparse.py::test_spmm[idtype0-min-add-shp3-g1] 0.84s call tests/compute/test_sparse.py::test_spmm[idtype1-sum-div-shp2-g1] ========= 2306 passed, 129 skipped, 236 warnings in 1178.17s (0:19:38) ========= PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-u-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-u-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-u-shp4-g1] PASSED [ 56%] tests/go/test_pipeline.py::test_linkpred_data[ogbl-citation2] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-v-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-v-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-v-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-v-shp1-g1] ============================= test session starts ============================== platform linux -- Python 3.7.0, pytest-7.1.2, pluggy-1.0.0 -- /opt/conda/envs/tensorflow-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4499 collecting ... PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-v-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-v-shp2-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-v-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-v-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-v-shp4-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-v-shp4-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-e-shp0-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-e-shp0-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-e-shp1-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-e-shp1-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-e-shp2-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-e-shp2-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-e-shp3-g0] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-e-shp3-g1] PASSED [ 47%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-e-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-sub-e-e-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-u-shp0-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-u-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-u-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-u-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-u-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-u-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-u-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-u-shp3-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-u-shp4-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-u-shp4-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp0-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp0-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp1-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp1-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp2-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp2-g1] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp3-g0] PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp3-g1] 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 [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp4-g0] 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 [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp4-g1] 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 [ 58%] tests/go/test_pipeline.py::test_linkpred_node_model[gcn] 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 [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp0-g0] 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%]PASSED [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp0-g1] 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 [ 48%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp1-g0] PASSED [ 59%] tests/go/test_pipeline.py::test_linkpred_node_model[gat] 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 [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp1-g1] 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 [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp2-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp2-g1] PASSED [ 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 [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp3-g1] PASSED [ 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/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp4-g0] PASSED [ 60%] tests/go/test_pipeline.py::test_linkpred_node_model[sage] 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/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp4-g1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g0-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g1-idtype0] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-both-g1-idtype1] PASSED [ 49%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g0-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g0-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g1-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-True-right-g1-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g0-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g0-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g1-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-none-g1-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g0-idtype0] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g0-idtype1] PASSED [ 50%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g1-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-both-g1-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g0-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g0-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g1-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-True-False-right-g1-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-idtype1] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-idtype0] PASSED [ 51%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-idtype0] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-idtype1] PASSED [ 52%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-idtype1] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-idtype0] PASSED [ 53%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g0-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g1-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-none-g1-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g0-idtype0] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g0-idtype1] PASSED [ 54%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g1-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-both-g1-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g0-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g0-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g1-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-True-right-g1-idtype1] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g0-idtype0] PASSED [ 55%] tests/tensorflow/test_nn.py::test_graph_conv2_bi[2-True-False-none-g0-idtype1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp0-g0] 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 [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp0-g1] PASSED [ 59%] tests/tensorflow/test_nn.py::test_rgcn[2] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp1-g0] 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 [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp1-g1] 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 [ 61%] tests/go/test_pipeline.py::test_linkpred_node_model[sgc] 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 [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp2-g0] PASSED [ 60%] tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp2-g1] 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 [ 62%] tests/go/test_pipeline.py::test_linkpred_node_model[gin] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp3-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp3-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp4-g0] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp4-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-v-shp0-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-v-shp0-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-v-shp1-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-v-shp1-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-v-shp2-g0] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-v-shp2-g1] PASSED [ 49%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-v-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-v-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-v-shp4-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-v-shp4-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-e-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-e-shp0-g1] PASSED [ 61%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-e-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-e-shp1-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-e-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-e-shp2-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-e-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-e-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-e-shp4-g0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-v-e-shp4-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp0-g1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp1-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp1-g1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g3-idtype1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp2-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp2-g1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp3-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp3-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp4-g0] PASSED [ 50%]PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype1] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-u-shp4-g1] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp0-g0] PASSED [ 50%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp1-g1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp2-g0] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp2-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp3-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp3-g1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-v-shp4-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp0-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp1-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp2-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp3-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp3-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp4-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-mul-e-e-shp4-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp0-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp0-g1] PASSED [ 51%]PASSED [ 64%] tests/go/test_pipeline.py::test_linkpred_edge_model[ele] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp1-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp1-g1] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp2-g0] PASSED [ 51%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-u-shp4-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp0-g1] PASSED [ 62%] tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp1-g1] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp2-g0] PASSED [ 63%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp2-g1] 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 [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp3-g0] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp3-g1] PASSED [ 64%] tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype0] PASSED [ 65%] tests/go/test_pipeline.py::test_linkpred_edge_model[bilinear] 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 [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp4-g1] PASSED [ 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 [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp0-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp0-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp1-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp1-g1] PASSED [ 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 [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp2-g0] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp2-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp3-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp3-g1] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp4-g0] PASSED [ 52%] tests/compute/test_sparse.py::test_sddmm[int32-div-u-e-shp4-g1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp0-g0] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp0-g1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp1-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp1-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp2-g1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp3-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp3-g1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp4-g0] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp4-g1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype1] PASSED [ 66%] tests/go/test_pipeline.py::test_linkpred_neg_sampler[global] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-v-shp0-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-v-shp0-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-v-shp1-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-v-shp1-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-v-shp2-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-v-shp2-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-v-shp3-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-v-shp3-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-v-shp4-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-v-shp4-g1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-e-shp0-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-e-shp0-g1] PASSED [ 65%] tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype1] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-e-shp1-g0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-e-shp1-g1] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] PASSED [ 53%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-e-shp2-g0] 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-e-shp2-g1] 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-e-shp3-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-e-shp3-g1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-e-shp4-g0] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-v-e-shp4-g1] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp0-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp0-g1] PASSED [ 66%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g0-idtype0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp1-g0] 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp1-g1] 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/go/test_pipeline.py::test_linkpred_neg_sampler[persource] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp2-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp2-g1] PASSED [ 67%] tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp3-g0] PASSED [ 67%] tests/tensorflow/test_nn.py::test_sage_conv[1-mean-g0-idtype0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp3-g1] 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp4-g0] 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp4-g1] 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp0-g0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g3-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g3-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g4-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g4-idtype1] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g5-idtype0] PASSED [ 75%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g5-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g6-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g6-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g7-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-pool-g7-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g0-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g0-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g1-idtype0] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g1-idtype1] PASSED [ 76%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g2-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g2-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g3-idtype0] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g3-idtype1] PASSED [ 77%] tests/tensorflow/test_nn.py::test_sage_conv[10-gcn-g4-idtype0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp0-g1] 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 [ 69%] tests/go/test_pipeline.py::test_linkpred_neg_sampler[] 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp1-g0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp1-g1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-gcn-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[1-gcn-idtype1] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-mean-idtype0] PASSED [ 82%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-mean-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-pool-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-pool-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-gcn-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sage_conv_bi_empty[2-gcn-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g0-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g0-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g1-idtype0] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g1-idtype1] PASSED [ 83%] tests/tensorflow/test_nn.py::test_sgc_conv[1-g2-idtype0] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp2-g0] 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp2-g1] 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp3-g0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g1-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g1-idtype1] PASSED [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp3-g1] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g2-idtype0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g2-idtype1] PASSED [ 70%] tests/go/test_pipeline.py::test_graphpred[gin-csv] 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 [ 54%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp4-g0] PASSED [ 85%] tests/tensorflow/test_nn.py::test_sgc_conv[2-g5-idtype1] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g0-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g0-idtype1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp1-g0] PASSED [ 55%]PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g1-idtype0] PASSED [ 86%] tests/tensorflow/test_nn.py::test_appnp_conv[g1-idtype1] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-div-e-e-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-u-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-u-shp0-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-u-shp1-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-u-shp1-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-u-shp2-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-u-shp2-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-u-shp3-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-u-shp3-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-u-shp4-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-u-shp4-g1] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp0-g0] PASSED [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp0-g1] PASSED [ 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 [ 55%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp1-g1] 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp2-g0] 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp2-g1] 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp3-g0] 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp3-g1] 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp4-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp4-g1] 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-e-shp0-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-e-shp0-g1] PASSED [ 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-e-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-e-shp1-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-e-shp2-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-e-shp2-g1] PASSED [ 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-e-shp3-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-e-shp3-g1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-e-shp4-g0] 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-u-e-shp4-g1] 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp0-g0] 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp0-g1] 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 [ 71%] tests/go/test_pipeline.py::test_graphpred[gin-ogbg-molhiv] 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp1-g0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp1-g1] PASSED [ 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp2-g0] PASSED [ 72%] tests/go/test_pipeline.py::test_graphpred[gin-ogbg-molpcba] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype1] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp2-g1] 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 [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp3-g0] PASSED [ 99%] tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype0] PASSED [ 56%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp3-g1] 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 [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp4-g1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_dense_cheb_conv[1] PASSED [ 99%] tests/tensorflow/test_nn.py::test_dense_cheb_conv[2] PASSED [100%] =============================== warnings summary =============================== ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/iterator_ops.py:546 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/iterator_ops.py:546: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working class IteratorBase(collections.Iterator, trackable.Trackable, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/dataset_ops.py:106 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/data/ops/dataset_ops.py:106: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working class DatasetV2(collections.Iterable, tracking_base.Trackable, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses import imp ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _nlv = LooseVersion(_np_version) ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p16 = _nlv < LooseVersion("1.16") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p17 = _nlv < LooseVersion("1.17") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p18 = _nlv < LooseVersion("1.18") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p19 = _nlv < LooseVersion("1.19") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p20 = _nlv < LooseVersion("1.20") ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(_np_version) >= LooseVersion("1.17.0"): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:23 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:23: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead. 'nearest': pil_image.NEAREST, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:24 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:24: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead. 'bilinear': pil_image.BILINEAR, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:25 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:25: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead. 'bicubic': pil_image.BICUBIC, ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:28 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:28: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead. if hasattr(pil_image, 'HAMMING'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:29 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:29: DeprecationWarning: HAMMING is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.HAMMING instead. _PIL_INTERPOLATION_METHODS['hamming'] = pil_image.HAMMING ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:30 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:30: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead. if hasattr(pil_image, 'BOX'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:31 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:31: DeprecationWarning: BOX is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BOX instead. _PIL_INTERPOLATION_METHODS['box'] = pil_image.BOX ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:33 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:33: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead. if hasattr(pil_image, 'LANCZOS'): ../../../../opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:34 /opt/conda/envs/tensorflow-ci/lib/python3.7/site-packages/keras_preprocessing/image/utils.py:34: DeprecationWarning: LANCZOS is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.LANCZOS instead. _PIL_INTERPOLATION_METHODS['lanczos'] = pil_image.LANCZOS python/dgl/backend/tensorflow/tensor.py:15 python/dgl/backend/tensorflow/tensor.py:15 /root/jenkins/workspace/dgl_PR-4499/python/dgl/backend/tensorflow/tensor.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(tf.__version__) < LooseVersion("2.3.0"): tests/tensorflow/test_nn.py::test_graph_conv[1] tests/tensorflow/test_nn.py::test_graph_conv[2] tests/tensorflow/test_nn.py::test_simple_pool tests/tensorflow/test_nn.py::test_glob_att_pool tests/tensorflow/test_nn.py::test_rgcn[1] tests/tensorflow/test_nn.py::test_rgcn[2] tests/tensorflow/test_nn.py::test_rgcn[8] tests/tensorflow/test_nn.py::test_dense_cheb_conv[1] tests/tensorflow/test_nn.py::test_dense_cheb_conv[2] /root/jenkins/workspace/dgl_PR-4499/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-4499/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-4499/pytest_backend.xml -- ============================ slowest 100 durations ============================= 0.92s call tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype0] 0.90s call tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype1] 0.89s call tests/tensorflow/test_nn.py::test_hetero_conv[max-idtype0] 0.88s call tests/tensorflow/test_nn.py::test_hetero_conv[sum-idtype1] 0.86s call tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype0] 0.82s call tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype0] 0.80s call tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype1] 0.79s call tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype0] 0.77s call tests/tensorflow/test_nn.py::test_hetero_conv[stack-idtype1] 0.77s call tests/tensorflow/test_nn.py::test_hetero_conv[myagg-idtype1] 0.74s call tests/tensorflow/test_nn.py::test_hetero_conv[mean-idtype0] 0.73s call tests/tensorflow/test_nn.py::test_hetero_conv[min-idtype1] 0.61s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype0] 0.47s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype0] 0.45s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype0] 0.44s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype1] 0.41s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype1] 0.41s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype0] 0.41s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g5-idtype1] 0.40s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g4-idtype1] 0.40s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g6-idtype1] 0.39s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype1] 0.39s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype1] 0.39s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype0] 0.39s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g6-idtype0] 0.39s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g1-idtype0] 0.39s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype0] 0.39s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g4-idtype1] 0.38s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype0] 0.37s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype0] 0.37s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g4-idtype0] 0.37s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype0] 0.37s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype0] 0.37s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g5-idtype0] 0.36s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype0] 0.36s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype0] 0.35s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype0] 0.35s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype1] 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-g5-idtype1] 0.35s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g1-idtype0] 0.35s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g2-idtype1] 0.34s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g2-idtype1] 0.34s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype1] 0.34s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g3-idtype1] 0.34s call tests/tensorflow/test_nn.py::test_gat_conv[4-2-g0-idtype0] 0.34s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g0-idtype1] 0.34s call tests/tensorflow/test_nn.py::test_graph_conv[1] 0.34s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g0-idtype0] 0.34s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g6-idtype1] 0.33s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype0] 0.33s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-g5-idtype0] 0.33s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g2-idtype1] 0.33s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype0] 0.33s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g2-idtype1] 0.33s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g6-idtype1] 0.33s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g0-idtype1] 0.32s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype0] 0.32s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g5-idtype0] 0.32s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype1] 0.32s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype0] 0.32s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g0-idtype1] 0.31s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype1] 0.31s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g1-idtype1] 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-g0-idtype1] 0.31s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g3-idtype1] 0.31s call tests/tensorflow/test_nn.py::test_rgcn[2] 0.31s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g3-idtype1] 0.31s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g0-idtype1] 0.31s call tests/tensorflow/test_nn.py::test_gat_conv[1-2-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_bi[1-2-g0-idtype1] 0.30s call tests/tensorflow/test_nn.py::test_gat_conv[4-1-g4-idtype0] 0.30s call tests/tensorflow/test_nn.py::test_gat_conv[1-1-g1-idtype1] 0.29s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g0-idtype0] 0.29s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-1-g1-idtype0] 0.29s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype0] 0.29s call tests/tensorflow/test_nn.py::test_gat_conv_bi[1-2-g1-idtype1] 0.29s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype0] 0.28s call tests/tensorflow/test_nn.py::test_rgcn[8] 0.27s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g2-idtype1] 0.26s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g1-idtype1] 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_bi[4-1-g0-idtype0] 0.25s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g3-idtype1] 0.24s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-1-g1-idtype0] 0.24s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g0-idtype0] 0.23s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g4-idtype0] 0.23s call tests/tensorflow/test_nn.py::test_graph_conv[2] 0.22s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g0-idtype1] 0.22s call tests/tensorflow/test_nn.py::test_rgcn[1] 0.20s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g1-idtype1] 0.20s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g5-idtype1] 0.20s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g0-idtype1] 0.20s call tests/tensorflow/test_nn.py::test_sgc_conv[2-g2-idtype0] 0.19s call tests/tensorflow/test_nn.py::test_gat_conv_bi[4-2-g1-idtype1] 0.19s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g5-idtype0] 0.18s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g1-idtype0] 0.18s call tests/tensorflow/test_nn.py::test_sgc_conv[1-g3-idtype0] ================= 920 passed, 35 warnings in 69.41s (0:01:09) ================== PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp1-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp2-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-v-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp0-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp1-g0] [Pipeline] } [Pipeline] // timeout [Pipeline] } PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp1-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp2-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp2-g1] [Pipeline] // stage PASSED [ 74%] tests/go/test_pipeline.py::test_graphpred[pna-csv] Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp3-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp3-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp4-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-v-e-shp4-g1] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp0-g0] PASSED [ 57%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp2-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-u-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp1-g1] [WS-CLEANUP] done [Pipeline] } PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp2-g1] $ docker stop --time=1 657363afcb9c1ea0e136be26d0544c77db8716dfb45e60aca18750ec7929d55c PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp3-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp3-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp4-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-v-shp4-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp0-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp0-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp1-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp1-g1] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp2-g0] PASSED [ 58%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-dot-e-e-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-u-shp4-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp0-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp0-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp1-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp1-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp2-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp2-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp3-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp3-g1] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp4-g0] PASSED [ 59%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-v-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp1-g0] $ docker rm -f 657363afcb9c1ea0e136be26d0544c77db8716dfb45e60aca18750ec7929d55c PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-u-e-shp4-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp2-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp2-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp3-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp3-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp4-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-u-shp4-g1] [Pipeline] // withDockerContainer [Pipeline] } PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp0-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp0-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp1-g0] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp1-g1] PASSED [ 60%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-v-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-e-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-e-shp0-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-e-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-e-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-e-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-e-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-e-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-e-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-e-shp4-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-v-e-shp4-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp0-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp0-g1] [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp1-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp1-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp2-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp2-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp3-g0] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp3-g1] PASSED [ 61%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-u-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp1-g0] PASSED [ 75%] tests/go/test_pipeline.py::test_graphpred[pna-ogbg-molhiv] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-v-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-e-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-e-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-e-shp1-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-e-shp1-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-e-shp2-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-e-shp2-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-e-shp3-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-e-shp3-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-e-shp4-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_lhs-e-e-shp4-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-u-shp0-g0] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-u-shp0-g1] PASSED [ 62%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-u-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-u-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-u-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-u-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-u-shp3-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-u-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-u-shp4-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-u-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp3-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp3-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp4-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-v-shp4-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-e-shp0-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-e-shp0-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-e-shp1-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-e-shp1-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-e-shp2-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-e-shp2-g1] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-e-shp3-g0] PASSED [ 63%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-e-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-e-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-u-e-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-u-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-u-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-u-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-u-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-u-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-u-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-u-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-u-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-u-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-u-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-v-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-v-shp0-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-v-shp1-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-v-shp1-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-v-shp2-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-v-shp2-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-v-shp3-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-v-shp3-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-v-shp4-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-v-shp4-g1] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-e-shp0-g0] PASSED [ 64%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-e-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-e-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-e-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-e-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-e-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-e-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-e-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-e-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-v-e-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp2-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp3-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp3-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp4-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-u-shp4-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp0-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp0-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp1-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp1-g1] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp2-g0] PASSED [ 65%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-v-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int32-copy_rhs-e-e-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp0-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp0-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp1-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp1-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp2-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp2-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp3-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp3-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp4-g0] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-u-shp4-g1] PASSED [ 66%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp1-g0] PASSED [ 76%] tests/go/test_pipeline.py::test_graphpred[pna-ogbg-molpcba] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-v-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp1-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp1-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp2-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp2-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp3-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp3-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp4-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-u-e-shp4-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp0-g0] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp0-g1] PASSED [ 67%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-u-shp1-g0] PASSED [ 67%] 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PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp3-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp3-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp4-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-v-shp4-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp0-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp0-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp1-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp1-g1] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp2-g0] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp2-g1] PASSED [ 77%] tests/go/test_pipeline.py::test_recipe[graphpred_hiv_gin.yaml] PASSED [ 68%] tests/compute/test_sparse.py::test_sddmm[int64-add-v-e-shp3-g0] PASSED [ 68%] 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PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp0-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp0-g1] PASSED [ 79%] tests/go/test_pipeline.py::test_recipe[graphpred_hiv_pna.yaml] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp1-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp1-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp2-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp2-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp3-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp3-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp4-g0] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-v-shp4-g1] PASSED [ 69%] tests/compute/test_sparse.py::test_sddmm[int64-add-e-e-shp0-g0] PASSED [ 69%] 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PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp2-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp2-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp3-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp3-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp4-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-u-shp4-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp0-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp0-g1] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp1-g0] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp1-g1] PASSED [ 80%] tests/go/test_pipeline.py::test_recipe[graphpred_pcba_gin.yaml] PASSED [ 70%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-v-shp2-g0] PASSED [ 70%] 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PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp3-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp4-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-u-e-shp4-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp0-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp0-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp1-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp1-g1] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp2-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp2-g1] PASSED [ 82%] tests/go/test_pipeline.py::test_recipe[linkpred_citation2_sage.yaml] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp3-g0] PASSED [ 71%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-u-shp3-g1] PASSED [ 71%] 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PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp2-g1] PASSED [ 83%] tests/go/test_pipeline.py::test_recipe[linkpred_collab_sage.yaml] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp3-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp3-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp4-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-v-e-shp4-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp0-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp0-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp1-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp1-g1] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp2-g0] PASSED [ 72%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp4-g0] PASSED [ 85%] tests/go/test_pipeline.py::test_recipe[nodepred_citeseer_gat.yaml] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-u-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-v-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp0-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp0-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp1-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp1-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp2-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp2-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp3-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp3-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp4-g0] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-sub-e-e-shp4-g1] PASSED [ 73%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp0-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp0-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp1-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp1-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp2-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp2-g1] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp3-g0] PASSED [ 74%] tests/compute/test_sparse.py::test_sddmm[int64-mul-u-u-shp3-g1] PASSED [ 74%] 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PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-mul-e-e-shp4-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp0-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp0-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp1-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp1-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp2-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp2-g1] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp3-g0] PASSED [ 77%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-u-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-v-shp0-g0] PASSED [ 78%] 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PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp1-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp2-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp2-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp3-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp3-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp4-g0] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-u-e-shp4-g1] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp0-g0] PASSED [ 95%] tests/go/test_pipeline.py::test_recipe[nodepred_pubmed_sage.yaml] PASSED [ 78%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp0-g1] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp1-g0] PASSED [ 79%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-u-shp1-g1] PASSED [ 79%] 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PASSED [ 97%] tests/go/test_pipeline.py::test_recipe[nodepred-ns_product_sage.yaml] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp4-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-v-e-shp4-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp0-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp0-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp1-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp1-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp2-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp2-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp3-g0] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp3-g1] PASSED [ 80%] tests/compute/test_sparse.py::test_sddmm[int64-div-e-u-shp4-g0] PASSED [ 80%] 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PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp2-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp2-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp3-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp3-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp4-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-u-shp4-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp0-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp0-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp1-g0] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp1-g1] PASSED [ 81%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp2-g0] PASSED [ 82%] tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp2-g1] PASSED [ 82%] 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PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp2-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp2-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp3-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp3-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp4-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-v-e-shp4-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp0-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp0-g1] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp1-g0] PASSED [ 83%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-u-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp3-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp4-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp4-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp0-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp0-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp1-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp1-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp2-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp2-g1] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp3-g0] PASSED [ 84%] tests/compute/test_sparse.py::test_sddmm[int64-dot-e-e-shp3-g1] PASSED [ 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 [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1741 /root/jenkins/workspace/dgl_PR-4499@3/python/dgl/backend/backend.py:1741: DeprecationWarning: invalid escape sequence \P """ python/dgl/backend/pytorch/tensor.py:16 python/dgl/backend/pytorch/tensor.py:16 /root/jenkins/workspace/dgl_PR-4499@3/python/dgl/backend/pytorch/tensor.py:16: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(th.__version__) < LooseVersion("1.9.0"): python/dgl/backend/pytorch/tensor.py:340 python/dgl/backend/pytorch/tensor.py:340 /root/jenkins/workspace/dgl_PR-4499@3/python/dgl/backend/pytorch/tensor.py:340: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(th.__version__) >= LooseVersion("1.10.0"): python/dgl/dataloading/dataloader.py:33 /root/jenkins/workspace/dgl_PR-4499@3/python/dgl/dataloading/dataloader.py:33: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(torch.__version__) python/dgl/_dataloading/pytorch/dataloader.py:24 /root/jenkins/workspace/dgl_PR-4499@3/python/dgl/_dataloading/pytorch/dataloader.py:24: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_VER = LooseVersion(th.__version__) python/dgl/_dataloading/pytorch/dataloader.py:25 /root/jenkins/workspace/dgl_PR-4499@3/python/dgl/_dataloading/pytorch/dataloader.py:25: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_16 = PYTORCH_VER >= LooseVersion("1.6.0") python/dgl/_dataloading/pytorch/dataloader.py:26 /root/jenkins/workspace/dgl_PR-4499@3/python/dgl/_dataloading/pytorch/dataloader.py:26: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. PYTORCH_17 = PYTORCH_VER >= LooseVersion("1.7.0") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:10: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _nlv = LooseVersion(_np_version) ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:11: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p16 = _nlv < LooseVersion("1.16") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:12: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p17 = _nlv < LooseVersion("1.17") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:13: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p18 = _nlv < LooseVersion("1.18") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:14: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p19 = _nlv < LooseVersion("1.19") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/__init__.py:15: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. _np_version_under1p20 = _nlv < LooseVersion("1.20") ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/setuptools/_distutils/version.py:351: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 ../../../../opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125 /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/pandas/compat/numpy/function.py:125: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if LooseVersion(_np_version) >= LooseVersion("1.17.0"): tests/go/test_model.py::test_gcn[g0] /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dglgo-0.0.2-py3.7.egg/dglgo/model/node_encoder/gcn.py:59: DGLWarning: The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size. dgl_warning("The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size.") tests/go/test_model.py::test_gat[g0] /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dglgo-0.0.2-py3.7.egg/dglgo/model/node_encoder/gat.py:72: DGLWarning: The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size. "The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size.") tests/go/test_model.py::test_gin[g0] /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dglgo-0.0.2-py3.7.egg/dglgo/model/node_encoder/gin.py:52: DGLWarning: The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size. "The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size.") tests/go/test_model.py::test_sage[g0] /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dglgo-0.0.2-py3.7.egg/dglgo/model/node_encoder/sage.py:52: DGLWarning: The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size. dgl_warning("The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size.") tests/go/test_model.py::test_sgc[g0] /opt/conda/envs/pytorch-ci/lib/python3.7/site-packages/dglgo-0.0.2-py3.7.egg/dglgo/model/node_encoder/sgc.py:42: DGLWarning: The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size. dgl_warning("The embedding for node feature is used, and input node_feat is ignored, due to the provided embed_size.") -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html --- generated xml file: /root/jenkins/workspace/dgl_PR-4499@3/pytest_go.xml ---- ============================ slowest 100 durations ============================= 21.84s call tests/go/test_pipeline.py::test_node_cora 8.21s call tests/go/test_pipeline.py::test_nodepred_data[cora] 8.04s call tests/go/test_pipeline.py::test_graphpred[pna-ogbg-molpcba] 8.01s call tests/go/test_pipeline.py::test_nodepred_ns_data[pubmed] 7.98s call tests/go/test_pipeline.py::test_nodepred_ns_model[gat] 7.97s call tests/go/test_pipeline.py::test_nodepred_data[pubmed] 7.93s call tests/go/test_pipeline.py::test_nodepred_ns_data[csv] 7.89s call tests/go/test_pipeline.py::test_nodepred_data[citeseer] 7.89s call tests/go/test_pipeline.py::test_nodepred_data[reddit] 7.89s call tests/go/test_pipeline.py::test_nodepred_ns_data[citeseer] 7.86s call tests/go/test_pipeline.py::test_nodepred_data[ogbn-arxiv] 7.85s call tests/go/test_pipeline.py::test_nodepred_data[csv] 7.76s call tests/go/test_pipeline.py::test_nodepred_ns_model[sage] 7.72s call tests/go/test_pipeline.py::test_nodepred_ns_data[co-buy-computer] 7.71s call tests/go/test_pipeline.py::test_nodepred_ns_model[gcn] 7.67s call tests/go/test_pipeline.py::test_nodepred_data[ogbn-products] 7.66s call tests/go/test_pipeline.py::test_nodepred_data[co-buy-computer] 7.64s call tests/go/test_pipeline.py::test_nodepred_model[sgc] 7.62s call tests/go/test_pipeline.py::test_nodepred_model[gat] 7.55s call tests/go/test_pipeline.py::test_nodepred_model[gcn] 7.54s call tests/go/test_pipeline.py::test_nodepred_model[sage] 7.52s call tests/go/test_pipeline.py::test_nodepred_ns_data[reddit] 7.52s call tests/go/test_pipeline.py::test_nodepred_ns_data[cora] 7.49s call tests/go/test_pipeline.py::test_nodepred_ns_data[ogbn-arxiv] 7.33s call tests/go/test_pipeline.py::test_nodepred_model[gin] 7.22s call tests/go/test_pipeline.py::test_nodepred_ns_data[ogbn-products] 6.95s call tests/go/test_pipeline.py::test_graphpred[pna-ogbg-molhiv] 6.26s call tests/go/test_pipeline.py::test_graphpred[gin-ogbg-molhiv] 6.14s call tests/go/test_pipeline.py::test_linkpred_data[citeseer] 6.11s call tests/go/test_pipeline.py::test_graphpred[gin-csv] 6.09s call tests/go/test_pipeline.py::test_linkpred_data[reddit] 6.06s call tests/go/test_pipeline.py::test_linkpred_data[ogbl-collab] 6.05s call tests/go/test_pipeline.py::test_linkpred_data[ogbl-citation2] 6.03s call tests/go/test_pipeline.py::test_linkpred_data[pubmed] 5.98s call tests/go/test_pipeline.py::test_linkpred_data[co-buy-computer] 5.91s call tests/go/test_pipeline.py::test_linkpred_data[csv] 5.84s call tests/go/test_pipeline.py::test_linkpred_data[ogbn-arxiv] 5.81s call tests/go/test_pipeline.py::test_linkpred_data[ogbn-products] 5.78s call tests/go/test_pipeline.py::test_linkpred_data[cora] 5.75s call tests/go/test_pipeline.py::test_graphpred[pna-csv] 5.63s call tests/go/test_pipeline.py::test_graphpred[gin-ogbg-molpcba] 5.56s call tests/go/test_pipeline.py::test_linkpred_node_model[gcn] 4.93s call tests/go/test_pipeline.py::test_linkpred_neg_sampler[global] 4.91s call tests/go/test_pipeline.py::test_linkpred_neg_sampler[persource] 4.89s call tests/go/test_pipeline.py::test_linkpred_neg_sampler[] 4.63s call tests/go/test_pipeline.py::test_linkpred_edge_model[bilinear] 4.33s call tests/go/test_pipeline.py::test_linkpred_node_model[gat] 4.32s call tests/go/test_pipeline.py::test_linkpred_edge_model[ele] 4.21s call tests/go/test_pipeline.py::test_linkpred_node_model[sage] 4.15s call tests/go/test_pipeline.py::test_linkpred_node_model[sgc] 4.13s call tests/go/test_pipeline.py::test_linkpred_node_model[gin] 2.54s call tests/go/test_pipeline.py::test_recipe[graphpred_pcba_gin.yaml] 2.50s call tests/go/test_pipeline.py::test_recipe[graphpred_hiv_gin.yaml] 2.49s call tests/go/test_pipeline.py::test_recipe[nodepred-ns_arxiv_gcn.yaml] 2.49s call tests/go/test_pipeline.py::test_recipe[graphpred_hiv_pna.yaml] 2.44s call tests/go/test_pipeline.py::test_recipe[nodepred_pubmed_gat.yaml] 2.44s call tests/go/test_pipeline.py::test_recipe[linkpred_citation2_sage.yaml] 2.43s call tests/go/test_pipeline.py::test_recipe[linkpred_cora_sage.yaml] 2.43s call tests/go/test_pipeline.py::test_recipe[nodepred_cora_sage.yaml] 2.41s call tests/go/test_pipeline.py::test_recipe[nodepred_citeseer_gat.yaml] 2.41s call tests/go/test_pipeline.py::test_recipe[nodepred-ns_product_sage.yaml] 2.40s call tests/go/test_pipeline.py::test_recipe[nodepred_cora_gcn.yaml] 2.40s call tests/go/test_pipeline.py::test_recipe[nodepred_citeseer_sage.yaml] 2.40s call tests/go/test_pipeline.py::test_recipe[linkpred_collab_sage.yaml] 2.40s call tests/go/test_pipeline.py::test_recipe[nodepred_pubmed_sage.yaml] 2.40s call tests/go/test_pipeline.py::test_recipe[nodepred_pubmed_gcn.yaml] 2.39s call tests/go/test_pipeline.py::test_recipe[nodepred_citeseer_gcn.yaml] 2.29s call tests/go/test_pipeline.py::test_recipe[nodepred_cora_gat.yaml] 0.14s call tests/go/test_model.py::test_pna 0.13s call tests/go/test_model.py::test_ogbg_gin[True] 0.09s call tests/go/test_model.py::test_ogbg_gin[False] 0.08s call tests/go/test_model.py::test_gat[g0] 0.05s call tests/go/test_model.py::test_gcn[g0] 0.05s call tests/go/test_model.py::test_bilinear 0.04s call tests/go/test_model.py::test_sgc[g0] 0.03s call tests/go/test_model.py::test_gin[g0] 0.02s call tests/go/test_model.py::test_gcn_block[g0] 0.02s call tests/go/test_model.py::test_sage_block[g0] 0.01s call tests/go/test_model.py::test_gat_block[g0] 0.01s call tests/go/test_model.py::test_sage[g0] (20 durations < 0.005s hidden. Use -vv to show these durations.) ================= 81 passed, 23 warnings in 396.49s (0:06:36) ================== 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] [Pipeline] } [Pipeline] // timeout 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] [Pipeline] } [Pipeline] // stage Post stage [Pipeline] cleanWs [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Deferred wipeout is disabled by the job configuration... 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] [WS-CLEANUP] done [Pipeline] } $ docker stop --time=1 d3a5ee4459a5c78df5a47f1029b9b08d30e2f84f833bfb0ffc805127774d7ee0 PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp3-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp3-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp4-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-u-shp4-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp0-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp0-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp1-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp1-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp2-g0] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp2-g1] PASSED [ 86%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-v-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp2-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp3-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp3-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp4-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-v-e-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp0-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp0-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp1-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp1-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp2-g0] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp2-g1] $ docker rm -f d3a5ee4459a5c78df5a47f1029b9b08d30e2f84f833bfb0ffc805127774d7ee0 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] [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-u-shp4-g1] PASSED [ 87%] tests/compute/test_sparse.py::test_sddmm[int64-copy_lhs-e-v-shp0-g0] PASSED [ 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 [ 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] /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/heterograph.py:2851: DGLWarning: DGLGraph.has_edge_between is deprecated. Please use DGLGraph.has_edges_between dgl_warning("DGLGraph.has_edge_between is deprecated. " Among 100 graphs generated, 94% are valid. 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] Running tutorial ./blitz/5_graph_classification.py ... 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] 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[ 98%] tests/compute/test_transform.py::test_module_ppr[int64] SKIPPED (Onl...) [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[int32] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_heat_kernel[int64] SKIPPED [ 98%] tests/compute/test_transform.py::test_module_gdc[int32] SKIPPED (Onl...) [ 99%] tests/compute/test_transform.py::test_module_gdc[int64] SKIPPED (Onl...) [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[int32] PASSED [ 99%] tests/compute/test_transform.py::test_module_node_shuffle[int64] PASSED [ 99%] tests/compute/test_transform.py::test_module_drop_node[int32] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_node[int64] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[int32] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_drop_edge[int64] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_add_edge[int32] PASSED [ 99%] tests/compute/test_transform.py::test_module_add_edge[int64] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[int32] PASSED [ 99%] tests/compute/test_transform.py::test_module_random_walk_pe[int64] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[int32] PASSED [ 99%] tests/compute/test_transform.py::test_module_laplacian_pe[int64] PASSED [ 99%] tests/compute/test_transform.py::test_module_sign[g0] SKIPPED (Only ...) [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[int32] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_row_feat_normalizer[int64] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[int32] SKIPPED [ 99%] tests/compute/test_transform.py::test_module_feat_mask[int64] SKIPPED [ 99%] tests/compute/test_traversal.py::test_bfs[int32] PASSED [ 99%] tests/compute/test_traversal.py::test_bfs[int64] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[int32] PASSED [ 99%] tests/compute/test_traversal.py::test_topological_nodes[int64] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[int32] PASSED [ 99%] tests/compute/test_traversal.py::test_dfs_labeled_edges[int64] PASSED [100%] =============================== warnings summary =============================== python/dgl/backend/backend.py:1741 /root/jenkins/workspace/dgl_PR-4499@4/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-4499@4/python/dgl/heterograph.py:72: DGLWarning: Recommend creating graphs by `dgl.graph(data)` instead of `dgl.DGLGraph(data)`. dgl_warning('Recommend creating graphs by `dgl.graph(data)`' tests/compute/test_basics.py: 2 warnings tests/compute/test_batched_graph.py: 10 warnings tests/compute/test_graph.py: 2 warnings tests/compute/test_kernel.py: 1 warning tests/compute/test_propagate.py: 2 warnings tests/compute/test_removal.py: 10 warnings tests/compute/test_specialization.py: 10 warnings tests/compute/test_subgraph.py: 2 warnings /root/jenkins/workspace/dgl_PR-4499@4/python/dgl/heterograph.py:354: DGLWarning: DGLGraph.add_edge is deprecated. Please use DGLGraph.add_edges dgl_warning("DGLGraph.add_edge is deprecated. Please use DGLGraph.add_edges") tests/compute/test_basics.py::test_update_all_0deg[int32] tests/compute/test_basics.py::test_update_all_0deg[int64] tests/compute/test_basics.py::test_pull_0deg[int32] tests/compute/test_basics.py::test_pull_0deg[int64] tests/compute/test_propagate.py::test_prop_nodes_topo[int32] tests/compute/test_propagate.py::test_prop_nodes_topo[int64] /root/jenkins/workspace/dgl_PR-4499@4/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-4499@4/python/dgl/heterograph.py:2978: DGLWarning: DGLGraph.edge_id is deprecated. Please use DGLGraph.edge_ids. dgl_warning("DGLGraph.edge_id is deprecated. Please use DGLGraph.edge_ids.") tests/compute/test_batched_heterograph.py::test_features[int32] tests/compute/test_batched_heterograph.py::test_features[int64] /root/jenkins/workspace/dgl_PR-4499@4/python/dgl/batch.py:159: DGLWarning: Arguments edge_attrs has been deprecated. Please use edata instead. dgl_warning('Arguments edge_attrs has been deprecated. Please use' tests/compute/test_csrmm.py::test_csrmm[float32-int32] tests/compute/test_csrmm.py::test_csrmm[float32-int64] tests/compute/test_csrmm.py::test_csrmm[float64-int32] tests/compute/test_csrmm.py::test_csrmm[float64-int64] tests/compute/test_csrmm.py::test_csrsum[float32-int32] tests/compute/test_csrmm.py::test_csrsum[float32-int64] tests/compute/test_csrmm.py::test_csrsum[float64-int32] tests/compute/test_csrmm.py::test_csrsum[float64-int64] /root/jenkins/workspace/dgl_PR-4499@4/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-4499@4/python/dgl/heterograph.py:2753: DGLWarning: DGLGraph.has_node is deprecated. Please use DGLGraph.has_nodes dgl_warning("DGLGraph.has_node is deprecated. Please use DGLGraph.has_nodes") tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4499@4/python/dgl/heterograph.py:2687: DGLWarning: DGLGraph.__contains__ is deprecated. Please directly call has_nodes. dgl_warning('DGLGraph.__contains__ is deprecated.' tests/compute/test_graph.py::test_query tests/compute/test_sampling.py::test_non_uniform_random_walk[False] tests/compute/test_sampling.py::test_uniform_random_walk[False] tests/compute/test_sampling.py::test_node2vec tests/compute/test_transform.py::test_no_backtracking /root/jenkins/workspace/dgl_PR-4499@4/python/dgl/heterograph.py:2851: DGLWarning: DGLGraph.has_edge_between is deprecated. Please use DGLGraph.has_edges_between dgl_warning("DGLGraph.has_edge_between is deprecated. " tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4499@4/python/dgl/heterograph.py:3432: DGLWarning: DGLGraph.in_degree is deprecated. Please use DGLGraph.in_degrees dgl_warning("DGLGraph.in_degree is deprecated. Please use DGLGraph.in_degrees") tests/compute/test_graph.py::test_query tests/compute/test_graph.py::test_hypersparse_query /root/jenkins/workspace/dgl_PR-4499@4/python/dgl/heterograph.py:3516: DGLWarning: DGLGraph.out_degree is deprecated. Please use DGLGraph.out_degrees dgl_warning("DGLGraph.out_degree is deprecated. Please use DGLGraph.out_degrees") tests/compute/test_graph.py::test_query /root/jenkins/workspace/dgl_PR-4499@4/python/dgl/heterograph.py:84: DGLWarning: Keyword arguments ['readonly', 'sort_csr'] are deprecated in v0.5, and can be safely removed in all cases. ' removed in all cases.'.format(list(deprecate_kwargs.keys()))) tests/compute/test_heterograph.py: 20 warnings /root/jenkins/workspace/dgl_PR-4499@4/tests/compute/test_heterograph.py:1128: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(src_i)) == nid[src[i]] tests/compute/test_heterograph.py: 20 warnings /root/jenkins/workspace/dgl_PR-4499@4/tests/compute/test_heterograph.py:1129: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead assert np.asscalar(F.asnumpy(dst_i)) == nid[dst[i]] tests/compute/test_heterograph.py::test_invertible_conversion[int32] tests/compute/test_heterograph.py::test_invertible_conversion[int64] tests/compute/test_shared_mem.py::test_single_process[int32] tests/compute/test_shared_mem.py::test_single_process[int64] /root/jenkins/workspace/dgl_PR-4499@4/python/dgl/heterograph.py:2635: DGLWarning: DGLGraph.is_readonly is deprecated in v0.5. DGLGraph now always supports mutable operations like add_nodes and add_edges. dgl_warning('DGLGraph.is_readonly is deprecated in v0.5.\n' tests/compute/test_kernel.py: 3 warnings tests/compute/test_sparse.py: 290 warnings /root/jenkins/workspace/dgl_PR-4499@4/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_pickle.py::test_pickling_batched_heterograph /root/jenkins/workspace/dgl_PR-4499@4/python/dgl/batch.py:511: DGLWarning: From v0.5, DGLHeteroGraph is merged into DGLGraph. You can safely replace dgl.batch_hetero with dgl.batch dgl_warning('From v0.5, DGLHeteroGraph is merged into DGLGraph. You can safely' tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4499@4/python/dgl/contrib/sampling/sampler.py:317: DGLWarning: dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5. Please read our guide for how to use the new sampling APIs. dgl_warning('dgl.contrib.sampling.NeighborSampler is deprecated starting from v0.5.' tests/compute/test_sampler.py::test_create_full tests/compute/test_sampler.py::test_1neighbor_sampler_all tests/compute/test_sampler.py::test_1neighbor_sampler tests/compute/test_sampler.py::test_prefetch_neighbor_sampler tests/compute/test_sampler.py::test_10neighbor_sampler_all tests/compute/test_sampler.py::test_10neighbor_sampler tests/compute/test_sampler.py::test_layer_sampler tests/compute/test_sampler.py::test_nonuniform_neighbor_sampler tests/compute/test_sampler.py::test_setseed /root/jenkins/workspace/dgl_PR-4499@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-4499@4/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 /root/jenkins/workspace/dgl_PR-4499@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-4499@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-4499@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-4499@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-4499@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-4499@4/pytest_compute.xml - ============================ slowest 100 durations ============================= 196.24s call tests/compute/test_kernel.py::test_all_binary_builtins 90.93s call tests/compute/test_sampler.py::test_negative_sampler 26.45s call tests/compute/test_transform.py::test_metis_partition[int64] 15.56s call tests/compute/test_transform.py::test_reorder_nodes 11.04s call tests/compute/test_kernel.py::test_copy_src_reduce 9.04s call tests/compute/test_graph.py::test_query 9.02s call tests/compute/test_kernel.py::test_copy_edge_reduce 7.64s call tests/compute/test_heterograph.py::test_query[int64] 6.83s call tests/compute/test_heterograph.py::test_query[int32] 6.27s call tests/compute/test_sampling.py::test_non_uniform_random_walk[False] 4.51s call tests/compute/test_traversal.py::test_bfs[int32] 4.15s call tests/compute/test_sampling.py::test_sample_neighbors_outedge 4.02s call tests/compute/test_traversal.py::test_bfs[int64] 3.41s call tests/compute/test_sampling.py::test_uniform_random_walk[False] 3.11s call tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp4-g1] 2.52s call tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp0-g1] 2.46s call tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp2-g1] 2.37s call tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp1-g1] 2.18s call tests/compute/test_sampling.py::test_sample_neighbors_prob 2.11s call tests/compute/test_sampling.py::test_sample_neighbors_noprob 2.10s call tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp1-g1] 2.06s call tests/compute/test_heterograph.py::test_view1[int32] 2.03s call tests/compute/test_sparse.py::test_sddmm[int32-mul-v-u-shp2-g1] 1.98s call tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp2-g1] 1.94s call tests/compute/test_heterograph.py::test_view1[int64] 1.87s call tests/compute/test_removal.py::test_node_and_edge_removal[int32] 1.82s call tests/compute/test_sparse.py::test_sddmm[int32-sub-v-u-shp0-g1] 1.82s call tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp1-g1] 1.81s call tests/compute/test_heterograph.py::test_updates[int64] 1.72s call tests/compute/test_removal.py::test_node_and_edge_removal[int64] 1.71s call tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp3-g1] 1.68s call tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp3-g1] 1.66s call tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp2-g1] 1.64s call tests/compute/test_sparse.py::test_sddmm[int32-add-v-u-shp3-g1] 1.62s call tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp0-g1] 1.59s call tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp4-g1] 1.59s call tests/compute/test_heterograph.py::test_updates[int32] 1.54s call tests/compute/test_sparse.py::test_sddmm[int32-sub-v-u-shp4-g1] 1.49s call tests/compute/test_heterograph.py::test_level2[int64] 1.47s call tests/compute/test_sampling.py::test_node2vec 1.45s call tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp0-g1] 1.33s call tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp3-g1] 1.32s call tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp4-g1] 1.29s call tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp3-g1] 1.28s call tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp1-g1] 1.27s call tests/compute/test_sparse.py::test_sddmm[int32-sub-u-v-shp0-g1] 1.26s call tests/compute/test_sparse.py::test_sddmm[int32-add-v-e-shp3-g1] 1.21s call tests/compute/test_sparse.py::test_sddmm[int32-add-v-e-shp4-g1] 1.21s call tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp2-g1] 1.19s call tests/compute/test_sparse.py::test_spmm[int32-min-add-shp3-g1] 1.19s call tests/compute/test_heterograph.py::test_level2[int32] 1.19s call tests/compute/test_basics.py::test_update_routines[int32] 1.16s call tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp3-g1] 1.16s call tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp0-g1] 1.15s call tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp5-g0] 1.13s call tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp1-g0] 1.12s call tests/compute/test_sparse.py::test_sddmm[int32-sub-e-u-shp1-g1] 1.10s call tests/compute/test_sparse.py::test_sddmm[int32-mul-u-v-shp4-g0] 1.09s call tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp2-g1] 1.09s call tests/compute/test_sparse.py::test_sddmm[int32-div-e-v-shp3-g1] 1.07s call tests/compute/test_sparse.py::test_sddmm[int64-dot-u-e-shp2-g1] 1.07s call tests/compute/test_sparse.py::test_sddmm[int32-mul-u-e-shp1-g1] 1.05s call tests/compute/test_sparse.py::test_spmm[int32-min-add-shp2-g1] 1.02s call tests/compute/test_sampler.py::test_10neighbor_sampler 1.02s call tests/compute/test_basics.py::test_update_routines[int64] 1.02s call tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp0-g1] 1.00s call tests/compute/test_sparse.py::test_sddmm[int64-dot-u-v-shp4-g1] 0.99s call tests/compute/test_sparse.py::test_spmm[int32-min-add-shp5-g1] 0.99s call tests/compute/test_sparse.py::test_sddmm[int32-sub-e-u-shp0-g1] 0.98s call tests/compute/test_sampler.py::test_1neighbor_sampler 0.97s call tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp3-g1] 0.97s call tests/compute/test_sparse.py::test_spmm[int64-max-div-shp0-g1] 0.97s call tests/compute/test_sparse.py::test_sddmm[int32-div-v-u-shp4-g1] 0.97s call tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp3-g0] 0.97s call tests/compute/test_sampler.py::test_prefetch_neighbor_sampler 0.96s call tests/compute/test_propagate.py::test_prop_edges_dfs[int64] 0.96s call tests/compute/test_sparse.py::test_spmm[int32-sum-copy_lhs-shp1-g1] 0.93s call tests/compute/test_sparse.py::test_spmm[int32-min-add-shp4-g1] 0.90s call tests/compute/test_sparse.py::test_spmm[int32-min-mul-shp1-g1] 0.90s call tests/compute/test_sparse.py::test_sddmm[int32-div-e-u-shp4-g1] 0.90s call tests/compute/test_sparse.py::test_spmm[int64-min-div-shp3-g1] 0.88s call tests/compute/test_sparse.py::test_sddmm[int64-dot-e-v-shp0-g1] 0.88s call tests/compute/test_sparse.py::test_spmm[int32-min-add-shp1-g1] 0.88s call tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp5-g1] 0.87s call tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp3-g1] 0.87s call tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp2-g1] 0.87s call tests/compute/test_sparse.py::test_sddmm[int32-dot-v-u-shp1-g0] 0.87s call tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp1-g1] 0.87s call tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp4-g1] 0.87s call tests/compute/test_sparse.py::test_spmm[int64-max-copy_rhs-shp2-g1] 0.86s call tests/compute/test_sparse.py::test_sddmm[int32-dot-u-v-shp3-g1] 0.86s call tests/compute/test_sparse.py::test_sddmm[int32-div-u-v-shp3-g1] 0.86s call tests/compute/test_sparse.py::test_sddmm[int32-add-e-u-shp3-g1] 0.85s call tests/compute/test_sparse.py::test_spmm[int32-sum-sub-shp5-g1] 0.85s call tests/compute/test_sparse.py::test_spmm[int64-max-mul-shp5-g1] 0.84s call tests/compute/test_sparse.py::test_spmm[int32-min-sub-shp0-g1] 0.84s call tests/compute/test_sparse.py::test_spmm[int32-sum-div-shp3-g1] 0.84s call tests/compute/test_sparse.py::test_spmm[int64-max-copy_lhs-shp2-g1] 0.83s call tests/compute/test_sparse.py::test_spmm[int64-min-add-shp1-g1] 0.83s call tests/compute/test_sparse.py::test_spmm[int64-max-sub-shp2-g1] ========= 2282 passed, 148 skipped, 509 warnings in 931.58s (0:15:31) ========== Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: Error in sys.excepthook: Original exception was: ============================= test session starts ============================== platform linux -- Python 3.6.9, pytest-7.0.1, pluggy-1.0.0 -- /opt/conda/envs/mxnet-ci/bin/python3 cachedir: .pytest_cache rootdir: /root/jenkins/workspace/dgl_PR-4499@4 collecting ... collected 806 items tests/mxnet/test_geometry.py::test_fps PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv[1-int32] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv[1-int64] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv[2-int32] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv[2-int64] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g0-int32] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g0-int64] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g1-int32] PASSED [ 0%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g1-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g2-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g2-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g3-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g3-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g4-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g4-int64] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g5-int32] PASSED [ 1%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g5-int64] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g6-int32] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-none-g6-int64] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g0-int32] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g0-int64] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g1-int32] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g1-int64] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g2-int32] PASSED [ 2%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g2-int64] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g3-int32] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g3-int64] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g4-int32] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g4-int64] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g5-int32] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g5-int64] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g6-int32] PASSED [ 3%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-both-g6-int64] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g0-int32] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g0-int64] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g1-int32] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g1-int64] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g2-int32] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g2-int64] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g3-int32] PASSED [ 4%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g3-int64] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g4-int32] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g4-int64] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g5-int32] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g5-int64] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g6-int32] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-right-g6-int64] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g0-int32] PASSED [ 5%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g0-int64] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g1-int32] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g1-int64] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g2-int32] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g2-int64] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g3-int32] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g3-int64] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g4-int32] PASSED [ 6%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g4-int64] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g5-int32] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g5-int64] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g6-int32] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-True-left-g6-int64] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g0-int32] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g0-int64] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g1-int32] PASSED [ 7%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g1-int64] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g2-int32] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g2-int64] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g3-int32] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g3-int64] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g4-int32] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g4-int64] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g5-int32] PASSED [ 8%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g5-int64] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g6-int32] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-none-g6-int64] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g0-int32] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g0-int64] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g1-int32] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g1-int64] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g2-int32] PASSED [ 9%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g2-int64] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g3-int32] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g3-int64] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g4-int32] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g4-int64] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g5-int32] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g5-int64] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g6-int32] PASSED [ 10%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-both-g6-int64] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g0-int32] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g0-int64] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g1-int32] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g1-int64] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g2-int32] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g2-int64] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g3-int32] PASSED [ 11%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g3-int64] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g4-int32] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g4-int64] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g5-int32] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g5-int64] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g6-int32] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-right-g6-int64] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g0-int32] PASSED [ 12%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g0-int64] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g1-int32] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g1-int64] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g2-int32] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g2-int64] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g3-int32] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g3-int64] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g4-int32] PASSED [ 13%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g4-int64] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g5-int32] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g5-int64] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g6-int32] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[1-False-False-left-g6-int64] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g0-int32] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g0-int64] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g1-int32] PASSED [ 14%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g1-int64] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g2-int32] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g2-int64] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g3-int32] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g3-int64] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g4-int32] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g4-int64] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g5-int32] PASSED [ 15%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g5-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g6-int32] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-none-g6-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g0-int32] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g0-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g1-int32] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g1-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g2-int32] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g2-int64] PASSED [ 16%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g3-int32] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g3-int64] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g4-int32] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g4-int64] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g5-int32] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g5-int64] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g6-int32] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-both-g6-int64] PASSED [ 17%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g0-int32] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g0-int64] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g1-int32] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g1-int64] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g2-int32] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g2-int64] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g3-int32] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g3-int64] PASSED [ 18%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g4-int32] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g4-int64] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g5-int32] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g5-int64] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g6-int32] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-right-g6-int64] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g0-int32] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g0-int64] PASSED [ 19%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g1-int32] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g1-int64] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g2-int32] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g2-int64] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g3-int32] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g3-int64] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g4-int32] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g4-int64] PASSED [ 20%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g5-int32] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g5-int64] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g6-int32] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-True-left-g6-int64] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g0-int32] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g0-int64] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g1-int32] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g1-int64] PASSED [ 21%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g2-int32] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g2-int64] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g3-int32] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g3-int64] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g4-int32] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g4-int64] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g5-int32] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g5-int64] PASSED [ 22%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g6-int32] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-none-g6-int64] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g0-int32] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g0-int64] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g1-int32] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g1-int64] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g2-int32] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g2-int64] PASSED [ 23%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g3-int32] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g3-int64] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g4-int32] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g4-int64] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g5-int32] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g5-int64] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g6-int32] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-both-g6-int64] PASSED [ 24%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g0-int32] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g0-int64] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g1-int32] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g1-int64] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g2-int32] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g2-int64] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g3-int32] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g3-int64] PASSED [ 25%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g4-int32] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g4-int64] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g5-int32] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g5-int64] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g6-int32] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-right-g6-int64] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g0-int32] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g0-int64] PASSED [ 26%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g1-int32] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g1-int64] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g2-int32] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g2-int64] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g3-int32] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g3-int64] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g4-int32] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g4-int64] PASSED [ 27%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g5-int32] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g5-int64] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g6-int32] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2[2-False-False-left-g6-int64] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-int32] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-none-g0-int64] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-int32] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-none-g1-int64] PASSED [ 28%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-int32] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-both-g0-int64] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-int32] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-both-g1-int64] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-int32] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-right-g0-int64] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-int32] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-True-right-g1-int64] PASSED [ 29%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-int32] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-none-g0-int64] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-int32] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-none-g1-int64] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-int32] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-both-g0-int64] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-int32] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-both-g1-int64] PASSED [ 30%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-int32] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-right-g0-int64] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-int32] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[1-False-False-right-g1-int64] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-int32] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-none-g0-int64] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-int32] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-none-g1-int64] PASSED [ 31%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-int32] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-both-g0-int64] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-int32] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-both-g1-int64] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-int32] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-right-g0-int64] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-int32] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-True-right-g1-int64] PASSED [ 32%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-none-g0-int64] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-none-g1-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-none-g1-int64] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-both-g0-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-both-g0-int64] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-both-g1-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-both-g1-int64] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-right-g0-int32] PASSED [ 33%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-right-g0-int64] PASSED [ 34%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-right-g1-int32] PASSED [ 34%] tests/mxnet/test_nn.py::test_graph_conv2_bi[2-False-False-right-g1-int64] PASSED [ 34%] tests/mxnet/test_nn.py::test_tagconv[1] PASSED [ 34%] tests/mxnet/test_nn.py::test_tagconv[2] PASSED [ 34%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g0-int32] PASSED [ 34%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g0-int64] PASSED [ 34%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int32] PASSED [ 34%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int64] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g2-int32] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g2-int64] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g3-int32] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g3-int64] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g4-int32] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g4-int64] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g5-int32] PASSED [ 35%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g5-int64] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g6-int32] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-1-g6-int64] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g0-int32] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g0-int64] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g1-int32] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g1-int64] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g2-int32] PASSED [ 36%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g2-int64] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g3-int32] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g3-int64] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g4-int32] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g4-int64] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g5-int32] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g5-int64] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g6-int32] PASSED [ 37%] tests/mxnet/test_nn.py::test_gat_conv[1-20-g6-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g0-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g0-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g1-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g1-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g2-int64] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g3-int32] PASSED [ 38%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g3-int64] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g4-int32] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g4-int64] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int32] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g5-int64] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g6-int32] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-1-g6-int64] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g0-int32] PASSED [ 39%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g0-int64] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g1-int32] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g1-int64] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g2-int32] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g2-int64] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g3-int32] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g3-int64] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g4-int32] PASSED [ 40%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g4-int64] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g5-int32] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g5-int64] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g6-int32] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv[5-20-g6-int64] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g0-int32] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g0-int64] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g1-int32] PASSED [ 41%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g1-int64] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g0-int32] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g0-int64] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g1-int32] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[1-2-g1-int64] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g0-int32] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g0-int64] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g1-int32] PASSED [ 42%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-1-g1-int64] PASSED [ 43%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g0-int32] PASSED [ 43%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g0-int64] PASSED [ 43%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g1-int32] PASSED [ 43%] tests/mxnet/test_nn.py::test_gat_conv_bi[4-2-g1-int64] PASSED [ 43%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g0-int32] PASSED [ 43%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g0-int64] PASSED [ 43%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g1-int32] PASSED [ 43%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g1-int64] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g2-int32] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g2-int64] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g3-int32] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g3-int64] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g4-int32] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g4-int64] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g5-int32] PASSED [ 44%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g5-int64] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g6-int32] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g6-int64] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g7-int32] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-mean-g7-int64] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g0-int32] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g0-int64] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g1-int32] PASSED [ 45%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g1-int64] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g2-int32] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g2-int64] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g3-int32] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g3-int64] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g4-int32] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g4-int64] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g5-int32] PASSED [ 46%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g5-int64] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g6-int32] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g6-int64] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g7-int32] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-pool-g7-int64] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g0-int32] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g0-int64] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g1-int32] PASSED [ 47%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g1-int64] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g2-int32] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g2-int64] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g3-int32] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g3-int64] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g4-int32] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g4-int64] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g5-int32] PASSED [ 48%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g5-int64] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g6-int32] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g6-int64] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g7-int32] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[1-gcn-g7-int64] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g0-int32] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g0-int64] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g1-int32] PASSED [ 49%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g1-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g2-int32] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g2-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g3-int32] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g3-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g4-int32] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g4-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g5-int32] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g5-int64] PASSED [ 50%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g6-int32] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g6-int64] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g7-int32] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-mean-g7-int64] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g0-int32] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g0-int64] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g1-int32] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g1-int64] PASSED [ 51%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g2-int32] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g2-int64] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g3-int32] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g3-int64] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g4-int32] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g4-int64] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g5-int32] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g5-int64] PASSED [ 52%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g6-int32] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g6-int64] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g7-int32] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-pool-g7-int64] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g0-int32] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g0-int64] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g1-int32] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g1-int64] PASSED [ 53%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g2-int32] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g2-int64] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g3-int32] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g3-int64] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g4-int32] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g4-int64] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g5-int32] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g5-int64] PASSED [ 54%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g6-int32] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g6-int64] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g7-int32] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv[10-gcn-g7-int64] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g0-int32] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g0-int64] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g1-int32] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g1-int64] PASSED [ 55%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g2-int32] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-mean-g2-int64] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g0-int32] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g0-int64] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g1-int32] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g1-int64] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g2-int32] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-pool-g2-int64] PASSED [ 56%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g0-int32] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g0-int64] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g1-int32] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g1-int64] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g2-int32] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[1-gcn-g2-int64] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-mean-g0-int32] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-mean-g0-int64] PASSED [ 57%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-mean-g1-int32] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-mean-g1-int64] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-mean-g2-int32] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-mean-g2-int64] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-pool-g0-int32] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-pool-g0-int64] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-pool-g1-int32] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-pool-g1-int64] PASSED [ 58%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-pool-g2-int32] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-pool-g2-int64] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-gcn-g0-int32] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-gcn-g0-int64] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-gcn-g1-int32] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-gcn-g1-int64] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-gcn-g2-int32] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi[2-gcn-g2-int64] PASSED [ 59%] tests/mxnet/test_nn.py::test_sage_conv_bi2[1-mean-int32] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[1-mean-int64] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[1-pool-int32] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[1-pool-int64] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[1-gcn-int32] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[1-gcn-int64] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[2-mean-int32] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[2-mean-int64] PASSED [ 60%] tests/mxnet/test_nn.py::test_sage_conv_bi2[2-pool-int32] PASSED [ 61%] tests/mxnet/test_nn.py::test_sage_conv_bi2[2-pool-int64] PASSED [ 61%] tests/mxnet/test_nn.py::test_sage_conv_bi2[2-gcn-int32] PASSED [ 61%] tests/mxnet/test_nn.py::test_sage_conv_bi2[2-gcn-int64] PASSED [ 61%] tests/mxnet/test_nn.py::test_gg_conv PASSED [ 61%] tests/mxnet/test_nn.py::test_cheb_conv[1] PASSED [ 61%] tests/mxnet/test_nn.py::test_cheb_conv[20] PASSED [ 61%] tests/mxnet/test_nn.py::test_agnn_conv[g0-int32] PASSED [ 61%] tests/mxnet/test_nn.py::test_agnn_conv[g0-int64] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g1-int32] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g1-int64] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g2-int32] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g2-int64] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g3-int32] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g3-int64] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g4-int32] PASSED [ 62%] tests/mxnet/test_nn.py::test_agnn_conv[g4-int64] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv[g5-int32] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv[g5-int64] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv[g6-int32] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv[g6-int64] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv_bi[g0-int32] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv_bi[g0-int64] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv_bi[g1-int32] PASSED [ 63%] tests/mxnet/test_nn.py::test_agnn_conv_bi[g1-int64] PASSED [ 64%] tests/mxnet/test_nn.py::test_appnp_conv PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_cheb_conv[1] PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_cheb_conv[2] PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-both-int32] PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-both-int64] PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-right-int32] PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-right-int64] PASSED [ 64%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-none-int32] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-none-int64] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-both-int32] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-both-int64] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-right-int32] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-right-int64] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-none-int32] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-none-int64] PASSED [ 65%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-both-int32] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-both-int64] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-right-int32] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-right-int64] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-none-int32] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-none-int64] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-both-int32] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-both-int64] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-right-int32] PASSED [ 66%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-right-int64] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-none-int32] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-none-int64] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-both-int32] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-both-int64] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-right-int32] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-right-int64] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-none-int32] PASSED [ 67%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-none-int64] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-both-int32] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-both-int64] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-right-int32] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-right-int64] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-none-int32] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-none-int64] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-both-int32] PASSED [ 68%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-both-int64] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-right-int32] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-right-int64] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-none-int32] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-none-int64] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-both-int32] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-both-int64] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-right-int32] PASSED [ 69%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-right-int64] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-none-int32] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-none-int64] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-both-int32] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-both-int64] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-right-int32] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-right-int64] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-none-int32] PASSED [ 70%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-none-int64] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-both-int32] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-both-int64] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-right-int32] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-right-int64] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-none-int32] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-none-int64] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-both-int32] PASSED [ 71%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-both-int64] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-right-int32] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-right-int64] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-none-int32] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-none-int64] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-both-int32] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-both-int64] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-right-int32] PASSED [ 72%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-right-int64] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-none-int32] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-none-int64] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-both-int32] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-both-int64] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-right-int32] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-right-int64] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-none-int32] PASSED [ 73%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-none-int64] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-both-int32] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-both-int64] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-right-int32] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-right-int64] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-none-int32] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-none-int64] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g0-int32] PASSED [ 74%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g0-int64] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g1-int32] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g1-int64] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g2-int32] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g2-int64] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g3-int32] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g3-int64] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g4-int32] PASSED [ 75%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g4-int64] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g5-int32] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g5-int64] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g6-int32] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g6-int64] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g7-int32] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g7-int64] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g8-int32] PASSED [ 76%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g8-int64] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g9-int32] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[1-g9-int64] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g0-int32] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g0-int64] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g1-int32] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g1-int64] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g2-int32] PASSED [ 77%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g2-int64] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g3-int32] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g3-int64] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g4-int32] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g4-int64] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g5-int32] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g5-int64] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g6-int32] PASSED [ 78%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g6-int64] PASSED [ 79%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g7-int32] PASSED [ 79%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g7-int64] PASSED [ 79%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g8-int32] PASSED [ 79%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g8-int64] PASSED [ 79%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g9-int32] PASSED [ 79%] tests/mxnet/test_nn.py::test_dense_sage_conv[2-g9-int64] PASSED [ 79%] tests/mxnet/test_nn.py::test_edge_conv[1-g0-int32] PASSED [ 79%] tests/mxnet/test_nn.py::test_edge_conv[1-g0-int64] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g1-int32] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g1-int64] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g2-int32] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g2-int64] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g3-int32] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g3-int64] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g4-int32] PASSED [ 80%] tests/mxnet/test_nn.py::test_edge_conv[1-g4-int64] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[1-g5-int32] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[1-g5-int64] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[1-g6-int32] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[1-g6-int64] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[2-g0-int32] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[2-g0-int64] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[2-g1-int32] PASSED [ 81%] tests/mxnet/test_nn.py::test_edge_conv[2-g1-int64] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g2-int32] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g2-int64] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g3-int32] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g3-int64] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g4-int32] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g4-int64] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g5-int32] PASSED [ 82%] tests/mxnet/test_nn.py::test_edge_conv[2-g5-int64] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv[2-g6-int32] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv[2-g6-int64] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[1-g0-int32] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[1-g0-int64] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[1-g1-int32] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[1-g1-int64] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[2-g0-int32] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[2-g0-int64] PASSED [ 83%] tests/mxnet/test_nn.py::test_edge_conv_bi[2-g1-int32] PASSED [ 84%] tests/mxnet/test_nn.py::test_edge_conv_bi[2-g1-int64] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g0-int32] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g0-int64] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g1-int32] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g1-int64] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g2-int32] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g2-int64] PASSED [ 84%] tests/mxnet/test_nn.py::test_gin_conv[mean-g3-int32] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g3-int64] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g4-int32] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g4-int64] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g5-int32] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g5-int64] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g6-int32] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g6-int64] PASSED [ 85%] tests/mxnet/test_nn.py::test_gin_conv[mean-g7-int32] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[mean-g7-int64] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g0-int32] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g0-int64] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g1-int32] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g1-int64] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g2-int32] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g2-int64] PASSED [ 86%] tests/mxnet/test_nn.py::test_gin_conv[max-g3-int32] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g3-int64] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g4-int32] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g4-int64] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g5-int32] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g5-int64] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g6-int32] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g6-int64] PASSED [ 87%] tests/mxnet/test_nn.py::test_gin_conv[max-g7-int32] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[max-g7-int64] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g0-int32] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g0-int64] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g1-int32] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g1-int64] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g2-int32] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g2-int64] PASSED [ 88%] tests/mxnet/test_nn.py::test_gin_conv[sum-g3-int32] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g3-int64] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g4-int32] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g4-int64] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g5-int32] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g5-int64] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g6-int32] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g6-int64] PASSED [ 89%] tests/mxnet/test_nn.py::test_gin_conv[sum-g7-int32] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv[sum-g7-int64] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g0-int32] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g0-int64] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g1-int32] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g1-int64] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g2-int32] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[mean-g2-int64] PASSED [ 90%] tests/mxnet/test_nn.py::test_gin_conv_bi[max-g0-int32] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[max-g0-int64] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[max-g1-int32] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[max-g1-int64] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[max-g2-int32] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[max-g2-int64] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[sum-g0-int32] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[sum-g0-int64] PASSED [ 91%] tests/mxnet/test_nn.py::test_gin_conv_bi[sum-g1-int32] PASSED [ 92%] tests/mxnet/test_nn.py::test_gin_conv_bi[sum-g1-int64] PASSED [ 92%] tests/mxnet/test_nn.py::test_gin_conv_bi[sum-g2-int32] PASSED [ 92%] tests/mxnet/test_nn.py::test_gin_conv_bi[sum-g2-int64] PASSED [ 92%] tests/mxnet/test_nn.py::test_gmm_conv[g0-int32] PASSED [ 92%] tests/mxnet/test_nn.py::test_gmm_conv[g0-int64] PASSED [ 92%] tests/mxnet/test_nn.py::test_gmm_conv[g1-int32] PASSED [ 92%] tests/mxnet/test_nn.py::test_gmm_conv[g1-int64] PASSED [ 92%] tests/mxnet/test_nn.py::test_gmm_conv[g2-int32] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g2-int64] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g3-int32] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g3-int64] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g4-int32] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g4-int64] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g5-int32] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g5-int64] PASSED [ 93%] tests/mxnet/test_nn.py::test_gmm_conv[g6-int32] PASSED [ 94%] tests/mxnet/test_nn.py::test_gmm_conv[g6-int64] PASSED [ 94%] tests/mxnet/test_nn.py::test_gmm_conv_bi[g0-int32] PASSED [ 94%] tests/mxnet/test_nn.py::test_gmm_conv_bi[g0-int64] PASSED [ 94%] tests/mxnet/test_nn.py::test_gmm_conv_bi[g1-int32] PASSED [ 94%] tests/mxnet/test_nn.py::test_gmm_conv_bi[g1-int64] PASSED [ 94%] tests/mxnet/test_nn.py::test_nn_conv[g0-int32] PASSED [ 94%] tests/mxnet/test_nn.py::test_nn_conv[g0-int64] PASSED [ 94%] tests/mxnet/test_nn.py::test_nn_conv[g1-int32] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g1-int64] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g2-int32] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g2-int64] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g3-int32] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g3-int64] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g4-int32] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g4-int64] PASSED [ 95%] tests/mxnet/test_nn.py::test_nn_conv[g5-int32] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv[g5-int64] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv[g6-int32] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv[g6-int64] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv[g7-int32] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv[g7-int64] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv_bi[g0-int32] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv_bi[g0-int64] PASSED [ 96%] tests/mxnet/test_nn.py::test_nn_conv_bi[g1-int32] PASSED [ 97%] tests/mxnet/test_nn.py::test_nn_conv_bi[g1-int64] PASSED [ 97%] tests/mxnet/test_nn.py::test_nn_conv_bi[g2-int32] PASSED [ 97%] tests/mxnet/test_nn.py::test_nn_conv_bi[g2-int64] PASSED [ 97%] tests/mxnet/test_nn.py::test_sg_conv[1] PASSED [ 97%] tests/mxnet/test_nn.py::test_sg_conv[2] PASSED [ 97%] tests/mxnet/test_nn.py::test_set2set PASSED [ 97%] tests/mxnet/test_nn.py::test_glob_att_pool PASSED [ 97%] tests/mxnet/test_nn.py::test_simple_pool PASSED [ 98%] tests/mxnet/test_nn.py::test_rgcn[1] PASSED [ 98%] tests/mxnet/test_nn.py::test_rgcn[2] PASSED [ 98%] tests/mxnet/test_nn.py::test_rgcn[8] PASSED [ 98%] tests/mxnet/test_nn.py::test_sequential PASSED [ 98%] tests/mxnet/test_nn.py::test_hetero_conv[sum-int32] PASSED [ 98%] tests/mxnet/test_nn.py::test_hetero_conv[sum-int64] PASSED [ 98%] tests/mxnet/test_nn.py::test_hetero_conv[max-int32] PASSED [ 98%] tests/mxnet/test_nn.py::test_hetero_conv[max-int64] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[min-int32] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[min-int64] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[mean-int32] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[mean-int64] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[stack-int32] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[stack-int64] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[myagg-int32] PASSED [ 99%] tests/mxnet/test_nn.py::test_hetero_conv[myagg-int64] PASSED [100%] =============================== warnings summary =============================== tests/mxnet/test_nn.py::test_cheb_conv[1] tests/mxnet/test_nn.py::test_cheb_conv[20] /root/jenkins/workspace/dgl_PR-4499@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-4499@4/pytest_backend.xml - ============================ slowest 100 durations ============================= 4.06s call tests/mxnet/test_nn.py::test_gg_conv 2.25s call tests/mxnet/test_nn.py::test_graph_conv[1-int32] 2.25s call tests/mxnet/test_nn.py::test_hetero_conv[max-int64] 2.23s call tests/mxnet/test_nn.py::test_hetero_conv[sum-int64] 2.19s call tests/mxnet/test_nn.py::test_hetero_conv[sum-int32] 2.18s call tests/mxnet/test_nn.py::test_hetero_conv[min-int64] 2.18s call tests/mxnet/test_nn.py::test_graph_conv[1-int64] 2.17s call tests/mxnet/test_nn.py::test_hetero_conv[min-int32] 2.08s call tests/mxnet/test_nn.py::test_graph_conv[2-int32] 2.05s call tests/mxnet/test_nn.py::test_hetero_conv[stack-int64] 1.98s call tests/mxnet/test_nn.py::test_set2set 1.86s call tests/mxnet/test_nn.py::test_hetero_conv[max-int32] 1.85s call tests/mxnet/test_nn.py::test_hetero_conv[mean-int32] 1.82s call tests/mxnet/test_nn.py::test_dense_cheb_conv[1] 1.82s call tests/mxnet/test_nn.py::test_hetero_conv[myagg-int64] 1.69s call tests/mxnet/test_nn.py::test_hetero_conv[myagg-int32] 1.68s call tests/mxnet/test_nn.py::test_dense_cheb_conv[2] 1.57s call tests/mxnet/test_nn.py::test_graph_conv[2-int64] 1.56s call tests/mxnet/test_nn.py::test_hetero_conv[stack-int32] 1.35s call tests/mxnet/test_nn.py::test_hetero_conv[mean-int64] 1.04s call tests/mxnet/test_nn.py::test_simple_pool 0.74s call tests/mxnet/test_nn.py::test_rgcn[8] 0.73s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-both-int32] 0.72s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-both-int64] 0.71s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-both-int32] 0.70s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-both-int32] 0.69s call tests/mxnet/test_nn.py::test_rgcn[2] 0.69s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g1-both-int64] 0.69s call tests/mxnet/test_nn.py::test_cheb_conv[1] 0.68s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g6-both-int32] 0.67s call tests/mxnet/test_nn.py::test_cheb_conv[20] 0.67s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-both-int64] 0.67s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-both-int32] 0.66s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-both-int32] 0.66s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-both-int32] 0.65s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-both-int64] 0.65s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-both-int64] 0.65s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-both-int32] 0.65s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g4-both-int64] 0.64s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-both-int32] 0.64s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-both-int32] 0.64s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g0-both-int64] 0.64s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g3-both-int64] 0.64s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-gcn-int32] 0.63s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-both-int32] 0.63s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-both-int32] 0.62s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-pool-int64] 0.62s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-both-int32] 0.61s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-gcn-int64] 0.61s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g5-both-int64] 0.61s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-both-int64] 0.60s call tests/mxnet/test_nn.py::test_dense_graph_conv[1-g2-both-int32] 0.60s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-both-int64] 0.60s call tests/mxnet/test_nn.py::test_gat_conv[5-20-g6-int64] 0.60s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g5-both-int64] 0.59s call tests/mxnet/test_nn.py::test_agnn_conv[g0-int32] 0.57s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-both-int64] 0.56s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-both-int64] 0.56s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-gcn-int32] 0.56s call tests/mxnet/test_nn.py::test_rgcn[1] 0.56s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-right-int32] 0.54s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-mean-int32] 0.53s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g0-int64] 0.53s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-mean-int64] 0.53s call tests/mxnet/test_nn.py::test_dense_sage_conv[1-g4-int32] 0.53s call tests/mxnet/test_nn.py::test_dense_sage_conv[1-g2-int32] 0.52s call tests/mxnet/test_nn.py::test_agnn_conv[g6-int32] 0.52s call tests/mxnet/test_nn.py::test_agnn_conv[g6-int64] 0.52s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g3-int64] 0.52s call tests/mxnet/test_nn.py::test_sage_conv_bi2[2-pool-int32] 0.52s call tests/mxnet/test_nn.py::test_agnn_conv[g0-int64] 0.51s call tests/mxnet/test_nn.py::test_dense_sage_conv[1-g0-int32] 0.50s call tests/mxnet/test_nn.py::test_sage_conv_bi2[1-gcn-int64] 0.50s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g6-right-int64] 0.49s call tests/mxnet/test_nn.py::test_agnn_conv[g1-int64] 0.49s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-right-int64] 0.49s call tests/mxnet/test_nn.py::test_agnn_conv[g1-int32] 0.49s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g5-int32] 0.49s call tests/mxnet/test_nn.py::test_agnn_conv[g3-int64] 0.49s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g1-right-int32] 0.49s call tests/mxnet/test_nn.py::test_agnn_conv[g2-int64] 0.49s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g2-int64] 0.49s call tests/mxnet/test_nn.py::test_agnn_conv[g4-int32] 0.49s call tests/mxnet/test_nn.py::test_agnn_conv_bi[g0-int32] 0.48s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g1-int32] 0.48s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g2-right-int64] 0.48s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g4-right-int32] 0.48s call tests/mxnet/test_nn.py::test_dense_sage_conv[1-g7-int32] 0.48s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g5-int64] 0.48s call tests/mxnet/test_nn.py::test_agnn_conv[g3-int32] 0.48s call tests/mxnet/test_nn.py::test_dense_sage_conv[1-g2-int64] 0.48s call tests/mxnet/test_nn.py::test_agnn_conv_bi[g1-int32] 0.48s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g0-right-int32] 0.48s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g2-int32] 0.47s call tests/mxnet/test_nn.py::test_dense_sage_conv[1-g9-int32] 0.47s call tests/mxnet/test_nn.py::test_dense_graph_conv[2-g3-right-int32] 0.47s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g2-int64] 0.47s call tests/mxnet/test_nn.py::test_gat_conv[1-1-g6-int32] 0.47s call tests/mxnet/test_nn.py::test_gat_conv[1-20-g3-int32] 0.46s call tests/mxnet/test_nn.py::test_gat_conv_bi[1-1-g1-int64] ================= 806 passed, 2 warnings in 235.61s (0:03:55) ================== [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 340dd0ca01088a6f8c4320f4ea86422369cb7b625e5ec37d0e7815abcb85f200 $ docker rm -f 340dd0ca01088a6f8c4320f4ea86422369cb7b625e5ec37d0e7815abcb85f200 [Pipeline] // withDockerContainer [Pipeline] } [Pipeline] // withEnv [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } Downloading /root/jenkins/workspace/dgl_PR-4499@2/GINDataset.zip from https://raw.githubusercontent.com/weihua916/powerful-gnns/master/dataset.zip... Extracting file to /root/jenkins/workspace/dgl_PR-4499@2/GINDataset Node feature dimensionality: 3 Number of graph categories: 2 [Graph(num_nodes=222, num_edges=1110, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={}), tensor([0, 0, 1, 0, 0])] Number of nodes for each graph element in the batch: tensor([48, 38, 98, 10, 28]) Number of edges for each graph element in the batch: tensor([234, 206, 480, 46, 144]) The original graphs in the minibatch: [Graph(num_nodes=48, num_edges=234, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={}), Graph(num_nodes=38, num_edges=206, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={}), Graph(num_nodes=98, num_edges=480, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={}), Graph(num_nodes=10, num_edges=46, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={}), Graph(num_nodes=28, num_edges=144, ndata_schemes={'label': Scheme(shape=(), dtype=torch.int64), 'attr': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={})] Test accuracy: 0.09865470852017937 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: 0.316 (best 0.316), test acc: 0.319 (best 0.319) In epoch 5, loss: 1.871, val acc: 0.410 (best 0.410), test acc: 0.414 (best 0.414) In epoch 10, loss: 1.719, val acc: 0.562 (best 0.562), test acc: 0.572 (best 0.572) In epoch 15, loss: 1.492, val acc: 0.610 (best 0.610), test acc: 0.611 (best 0.611) In epoch 20, loss: 1.202, val acc: 0.650 (best 0.650), test acc: 0.649 (best 0.649) In epoch 25, loss: 0.885, val acc: 0.690 (best 0.690), test acc: 0.693 (best 0.693) In epoch 30, loss: 0.592, val acc: 0.742 (best 0.742), test acc: 0.736 (best 0.736) In epoch 35, loss: 0.362, val acc: 0.756 (best 0.758), test acc: 0.763 (best 0.759) In epoch 40, loss: 0.210, val acc: 0.762 (best 0.766), test acc: 0.768 (best 0.767) In epoch 45, loss: 0.121, val acc: 0.758 (best 0.766), test acc: 0.771 (best 0.767) In epoch 50, loss: 0.072, val acc: 0.762 (best 0.766), test acc: 0.777 (best 0.767) In epoch 55, loss: 0.046, val acc: 0.760 (best 0.766), test acc: 0.781 (best 0.767) In epoch 60, loss: 0.031, val acc: 0.762 (best 0.766), test acc: 0.777 (best 0.767) In epoch 65, loss: 0.023, val acc: 0.764 (best 0.766), test acc: 0.777 (best 0.767) In epoch 70, loss: 0.018, val acc: 0.760 (best 0.766), test acc: 0.776 (best 0.767) In epoch 75, loss: 0.015, val acc: 0.762 (best 0.766), test acc: 0.776 (best 0.767) In epoch 80, loss: 0.012, val acc: 0.764 (best 0.766), test acc: 0.778 (best 0.767) In epoch 85, loss: 0.011, val acc: 0.764 (best 0.766), test acc: 0.779 (best 0.767) In epoch 90, loss: 0.010, val acc: 0.764 (best 0.766), test acc: 0.783 (best 0.767) In epoch 95, loss: 0.009, val acc: 0.764 (best 0.766), test acc: 0.783 (best 0.767) In epoch 100, loss: 0.008, val acc: 0.766 (best 0.766), test acc: 0.784 (best 0.767) In epoch 105, loss: 0.007, val acc: 0.764 (best 0.766), test acc: 0.784 (best 0.767) In epoch 110, loss: 0.007, val acc: 0.768 (best 0.768), test acc: 0.783 (best 0.783) In epoch 115, loss: 0.006, val acc: 0.768 (best 0.768), test acc: 0.783 (best 0.783) In epoch 120, loss: 0.006, val acc: 0.768 (best 0.768), test acc: 0.781 (best 0.783) In epoch 125, loss: 0.006, val acc: 0.768 (best 0.768), test acc: 0.781 (best 0.783) In epoch 130, loss: 0.005, val acc: 0.764 (best 0.768), test acc: 0.781 (best 0.783) In epoch 135, loss: 0.005, val acc: 0.764 (best 0.768), test acc: 0.781 (best 0.783) In epoch 140, loss: 0.005, val acc: 0.764 (best 0.768), test acc: 0.781 (best 0.783) In epoch 145, loss: 0.004, val acc: 0.764 (best 0.768), test acc: 0.781 (best 0.783) In epoch 150, loss: 0.004, val acc: 0.764 (best 0.768), test acc: 0.781 (best 0.783) In epoch 155, loss: 0.004, val acc: 0.764 (best 0.768), test acc: 0.780 (best 0.783) In epoch 160, loss: 0.004, val acc: 0.764 (best 0.768), test acc: 0.781 (best 0.783) In epoch 165, loss: 0.004, val acc: 0.764 (best 0.768), test acc: 0.781 (best 0.783) In epoch 170, loss: 0.003, val acc: 0.764 (best 0.768), test acc: 0.781 (best 0.783) In epoch 175, loss: 0.003, val acc: 0.764 (best 0.768), test acc: 0.781 (best 0.783) In epoch 180, loss: 0.003, val acc: 0.764 (best 0.768), test acc: 0.780 (best 0.783) In epoch 185, loss: 0.003, val acc: 0.764 (best 0.768), test acc: 0.780 (best 0.783) In epoch 190, loss: 0.003, val acc: 0.764 (best 0.768), test acc: 0.780 (best 0.783) In epoch 195, loss: 0.003, val acc: 0.764 (best 0.768), test acc: 0.779 (best 0.783) In epoch 0, loss: 1.953, val acc: 0.114 (best 0.114), test acc: 0.103 (best 0.103) In epoch 5, loss: 1.873, val acc: 0.260 (best 0.260), test acc: 0.239 (best 0.239) In epoch 10, loss: 1.730, val acc: 0.318 (best 0.318), test acc: 0.301 (best 0.301) In epoch 15, loss: 1.521, val acc: 0.354 (best 0.354), test acc: 0.341 (best 0.341) In epoch 20, loss: 1.256, val acc: 0.408 (best 0.408), test acc: 0.398 (best 0.398) In epoch 25, loss: 0.961, val acc: 0.498 (best 0.498), test acc: 0.483 (best 0.483) In epoch 30, loss: 0.675, val acc: 0.650 (best 0.650), test acc: 0.633 (best 0.633) In epoch 35, loss: 0.437, val acc: 0.720 (best 0.720), test acc: 0.720 (best 0.720) In epoch 40, loss: 0.267, val acc: 0.740 (best 0.740), test acc: 0.744 (best 0.744) In epoch 45, loss: 0.160, val acc: 0.750 (best 0.750), test acc: 0.755 (best 0.752) In epoch 50, loss: 0.098, val acc: 0.752 (best 0.752), test acc: 0.753 (best 0.754) In epoch 55, loss: 0.062, val acc: 0.748 (best 0.752), test acc: 0.753 (best 0.754) In epoch 60, loss: 0.042, val acc: 0.752 (best 0.752), test acc: 0.757 (best 0.754) In epoch 65, loss: 0.031, val acc: 0.750 (best 0.752), test acc: 0.752 (best 0.754) In epoch 70, loss: 0.023, val acc: 0.748 (best 0.752), test acc: 0.755 (best 0.754) In epoch 75, loss: 0.019, val acc: 0.750 (best 0.752), test acc: 0.754 (best 0.754) In epoch 80, loss: 0.016, val acc: 0.746 (best 0.752), test acc: 0.755 (best 0.754) In epoch 85, loss: 0.013, val acc: 0.750 (best 0.752), test acc: 0.757 (best 0.754) In epoch 90, loss: 0.012, val acc: 0.750 (best 0.752), test acc: 0.757 (best 0.754) In epoch 95, loss: 0.010, val acc: 0.750 (best 0.752), test acc: 0.757 (best 0.754) In epoch 100, loss: 0.009, val acc: 0.750 (best 0.752), test acc: 0.758 (best 0.754) In epoch 105, loss: 0.009, val acc: 0.752 (best 0.752), test acc: 0.759 (best 0.754) In epoch 110, loss: 0.008, val acc: 0.752 (best 0.752), test acc: 0.759 (best 0.754) In epoch 115, loss: 0.007, val acc: 0.752 (best 0.752), test acc: 0.759 (best 0.754) In epoch 120, loss: 0.007, val acc: 0.750 (best 0.752), test acc: 0.760 (best 0.754) In epoch 125, loss: 0.006, val acc: 0.750 (best 0.752), test acc: 0.760 (best 0.754) In epoch 130, loss: 0.006, val acc: 0.750 (best 0.752), test acc: 0.762 (best 0.754) In epoch 135, loss: 0.005, val acc: 0.750 (best 0.752), test acc: 0.763 (best 0.754) In epoch 140, loss: 0.005, val acc: 0.750 (best 0.752), test acc: 0.762 (best 0.754) In epoch 145, loss: 0.005, val acc: 0.750 (best 0.752), test acc: 0.763 (best 0.754) In epoch 150, loss: 0.005, val acc: 0.750 (best 0.752), test acc: 0.763 (best 0.754) In epoch 155, loss: 0.004, val acc: 0.750 (best 0.752), test acc: 0.763 (best 0.754) In epoch 160, loss: 0.004, val acc: 0.750 (best 0.752), test acc: 0.764 (best 0.754) In epoch 165, loss: 0.004, val acc: 0.752 (best 0.752), test acc: 0.765 (best 0.754) In epoch 170, loss: 0.004, val acc: 0.752 (best 0.752), test acc: 0.765 (best 0.754) In epoch 175, loss: 0.004, val acc: 0.748 (best 0.752), test acc: 0.765 (best 0.754) In epoch 180, loss: 0.003, val acc: 0.748 (best 0.752), test acc: 0.765 (best 0.754) In epoch 185, loss: 0.003, val acc: 0.748 (best 0.752), test acc: 0.765 (best 0.754) In epoch 190, loss: 0.003, val acc: 0.748 (best 0.752), test acc: 0.765 (best 0.754) In epoch 195, loss: 0.003, val acc: 0.748 (best 0.752), test acc: 0.767 (best 0.754) 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: 0.6930394172668457 In epoch 5, loss: 0.6641768217086792 In epoch 10, loss: 0.575975239276886 In epoch 15, loss: 0.5276225805282593 In epoch 20, loss: 0.5004952549934387 In epoch 25, loss: 0.4749067425727844 In epoch 30, loss: 0.4461217224597931 In epoch 35, loss: 0.42548564076423645 In epoch 40, loss: 0.4017750322818756 In epoch 45, loss: 0.38216763734817505 In epoch 50, loss: 0.3618828356266022 In epoch 55, loss: 0.3411988914012909 In epoch 60, loss: 0.32031166553497314 In epoch 65, loss: 0.29901713132858276 In epoch 70, loss: 0.2775174677371979 In epoch 75, loss: 0.25655078887939453 In epoch 80, loss: 0.23592844605445862 In epoch 85, loss: 0.21618685126304626 In epoch 90, loss: 0.19657056033611298 In epoch 95, loss: 0.17742586135864258 AUC 0.8505361514790774 Running tutorial ./blitz/1_introduction.py ... NumNodes: 2708 NumEdges: 10556 NumFeats: 1433 NumClasses: 7 NumTrainingSamples: 140 NumValidationSamples: 500 NumTestSamples: 1000 Done loading data from cached files. Number of categories: 7 Node features {'feat': tensor([[0., 0., 0., ..., 0., 0., 0.], [0., 0., 0., ..., 0., 0., 0.], [0., 0., 0., ..., 0., 0., 0.], ..., [0., 0., 0., ..., 0., 0., 0.], [0., 0., 0., ..., 0., 0., 0.], [0., 0., 0., ..., 0., 0., 0.]]), 'label': tensor([3, 4, 4, ..., 3, 3, 3]), 'test_mask': tensor([False, False, False, ..., True, True, True]), 'train_mask': tensor([ True, True, True, ..., False, False, False]), 'val_mask': tensor([False, False, False, ..., False, False, False])} Edge features {} In epoch 0, loss: 1.946, val acc: 0.090 (best 0.090), test acc: 0.084 (best 0.084) In epoch 5, loss: 1.896, val acc: 0.342 (best 0.372), test acc: 0.317 (best 0.406) In epoch 10, loss: 1.817, val acc: 0.426 (best 0.426), test acc: 0.404 (best 0.404) In epoch 15, loss: 1.715, val acc: 0.516 (best 0.516), test acc: 0.519 (best 0.519) In epoch 20, loss: 1.592, val acc: 0.554 (best 0.554), test acc: 0.571 (best 0.571) In epoch 25, loss: 1.449, val acc: 0.610 (best 0.610), test acc: 0.606 (best 0.606) In epoch 30, loss: 1.291, val acc: 0.636 (best 0.636), test acc: 0.642 (best 0.642) In epoch 35, loss: 1.122, val acc: 0.668 (best 0.668), test acc: 0.679 (best 0.679) In epoch 40, loss: 0.951, val acc: 0.704 (best 0.704), test acc: 0.708 (best 0.708) In epoch 45, loss: 0.787, val acc: 0.720 (best 0.720), test acc: 0.731 (best 0.731) In epoch 50, loss: 0.640, val acc: 0.730 (best 0.730), test acc: 0.743 (best 0.741) In epoch 55, loss: 0.515, val acc: 0.738 (best 0.738), test acc: 0.753 (best 0.753) In epoch 60, loss: 0.413, val acc: 0.738 (best 0.740), test acc: 0.758 (best 0.756) In epoch 65, loss: 0.331, val acc: 0.746 (best 0.746), test acc: 0.762 (best 0.762) In epoch 70, loss: 0.268, val acc: 0.754 (best 0.754), test acc: 0.769 (best 0.769) In epoch 75, loss: 0.218, val acc: 0.760 (best 0.760), test acc: 0.768 (best 0.769) In epoch 80, loss: 0.180, val acc: 0.758 (best 0.762), test acc: 0.771 (best 0.768) In epoch 85, loss: 0.150, val acc: 0.762 (best 0.762), test acc: 0.770 (best 0.768) In epoch 90, loss: 0.126, val acc: 0.766 (best 0.766), test acc: 0.767 (best 0.770) In epoch 95, loss: 0.108, val acc: 0.768 (best 0.768), test acc: 0.768 (best 0.768) 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([[-1.8592, -0.7914, -1.6993, 0.2750], [-0.6277, -2.1817, 0.9137, 0.0630], [-0.8290, 0.6303, 0.5150, 0.2607], [-0.3202, -0.6645, -1.1624, -1.0664], [ 1.3664, 1.0845, -0.5684, -1.4023]]) 6 5 5 0 tensor([0, 1, 3]) tensor([0, 2]) tensor([0, 1, 2, 4]) tensor([0, 1, 3]) tensor([[ 1.6028, 0.0282, 0.6935], [ 1.4314, 0.5010, -0.7860], [-0.6999, -0.7526, 0.2830]]) tensor([[-1.8592, -0.7914, -1.6993, 0.2750], [-0.8290, 0.6303, 0.5150, 0.2607]]) tensor([[ 1.6028, 0.0282, 0.6935], [ 1.4314, 0.5010, -0.7860], [-2.1489, -0.1679, 0.3042], [-0.0587, 1.2194, 0.6090]]) tensor([[-1.8592, -0.7914, -1.6993, 0.2750], [-0.6277, -2.1817, 0.9137, 0.0630], [-0.3202, -0.6645, -1.1624, -1.0664]]) (tensor([0, 0, 0, 0, 0, 1, 2, 3, 4, 5]), tensor([1, 2, 3, 4, 5, 0, 0, 0, 0, 0])) Graph(num_nodes=6, num_edges=5, ndata_schemes={'y': Scheme(shape=(5, 4), dtype=torch.float32), 'x': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={'a': Scheme(shape=(4,), dtype=torch.float32)}) Graph(num_nodes=6, num_edges=5, ndata_schemes={'y': Scheme(shape=(5, 4), dtype=torch.float32), 'x': Scheme(shape=(3,), dtype=torch.float32)} edata_schemes={'a': Scheme(shape=(4,), dtype=torch.float32)}) Graph(num_nodes=3, num_edges=2, ndata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64), 'x': Scheme(shape=(3,), dtype=torch.float32), 'y': Scheme(shape=(5, 4), dtype=torch.float32)} edata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64), 'a': Scheme(shape=(4,), dtype=torch.float32)}) Graph(num_nodes=4, num_edges=3, ndata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64), 'x': Scheme(shape=(3,), dtype=torch.float32), 'y': Scheme(shape=(5, 4), dtype=torch.float32)} edata_schemes={'_ID': Scheme(shape=(), dtype=torch.int64), 'a': Scheme(shape=(4,), dtype=torch.float32)}) Running tutorial ./large/L1_large_node_classification.py ... WARNING:root:The OGB package is out of date. Your version is 1.3.3, while the latest version is 1.3.4. /root/jenkins/workspace/dgl_PR-4499@2/python/dgl/dataloading/dataloader.py:861: DGLWarning: Dataloader CPU affinity opt is not enabled, consider switching it on (see enable_cpu_affinity() or CPU best practices for DGL [https://docs.dgl.ai/tutorials/cpu/cpu_best_practises.html]) dgl_warning(f'Dataloader CPU affinity opt is not enabled, consider switching it on ' Graph(num_nodes=169343, num_edges=2332486, ndata_schemes={'year': Scheme(shape=(1,), dtype=torch.int64), 'feat': Scheme(shape=(128,), dtype=torch.float32), 'label': Scheme(shape=(), dtype=torch.int64)} edata_schemes={}) tensor([[ 4], [ 5], [28], ..., [10], [ 4], [ 1]]) Number of classes: 40 [tensor([ 34116, 147839, 143953, ..., 34198, 101160, 3796]), tensor([ 34116, 147839, 143953, ..., 147884, 54475, 66778]), [Block(num_src_nodes=12617, num_dst_nodes=4050, num_edges=14563), Block(num_src_nodes=4050, num_dst_nodes=1024, num_edges=3237)]] To compute 1024 nodes' outputs, we need 12617 nodes' input features tensor([ 34116, 147839, 143953, ..., 34198, 101160, 3796]) tensor([ 34116, 147839, 143953, ..., 20747, 108930, 40557]) True 0%| | 0/89 [00:00